-
Brent Faiyaz - ROLE MODEL [Official Audio]
Brent Faiyaz - ROLE MODEL
🔔 Subscribe to Brent Faiyaz’s channel: https://bit.ly/3PQrJD6
Follow or Text Brent Faiyaz: +1 (443) 637-6100
https://www.instagram.com/brentfaiyaz
https://www.facebook.com/brentfaiyaz
https://twitter.com/brentfaiyaz
https://brentfaiyaz.com/
Courtesy of Lost Kids
#BrentFaiyaz #RnB #RoleModel
published: 08 Jul 2022
-
Eminem - Role Model (Official Music Video)
REMASTERED IN HD!!
Official Music Video for Role Model performed by Eminem.
(C) 1999 Aftermath Entertainment/Interscope Records
#Eminem #RoleModel #Remastered
published: 25 Dec 2009
-
ROLE MODEL - neverletyougo (Official Music Video)
Stream and download “neverletyougo ” respectfully -
http://RoleModel.lnk.to/neverletyougo
ROLE MODEL's new album “Rx” available now - http://RoleModel.lnk.to/rxalbum
Connect w/ ROLE MODEL-
Website - https://www.heyrolemodel.com/
Tour Dates - http://www.heyrolemodel.com/tour
Instagram - https://www.instagram.com/rolemodel/
Twitter - https://twitter.com/rolemodel
Facebook - https://www.facebook.com/heyrolemodel/
Soundcloud - https://soundcloud.com/heyrolemodel
Spotify - https://spoti.fi/3ixN9mP
Apple Music - https://apple.co/3kyL3pE
Credits:
Directed by Dylan Knight & Ben Goodman
DP: Scott Ray
Production Manager: Eli Powers
AC: Steven Tong
Steadicam: Franz Burn
Location Manager: Gita Nandan
Colorist: Ben Goodman
VFX: Scissor Films
#ROLEMODEL #NEVERLETYOUGO #RX
Music video by ROLE MODEL...
published: 25 Mar 2022
-
ROLE MODEL - going out (Official Video)
ROLE MODEL "going out" is out now: https://smarturl.it/goingoutRM
New merch available: https://merch.heyrolemodel.com/
Official channels of ROLE MODEL:
Web: https://www.heyrolemodel.com/
Instagram: https://www.instagram.com/rolemodel/
Twitter: https://twitter.com/heyrolemodel
Facebook: https://www.facebook.com/heyrolemodel/
#ROLEMODEL #goingout
Music video by ROLE MODEL performing going out. © 2020 Interscope Records
published: 07 Oct 2020
-
ROLE MODEL - blind (Official Video)
ROLE MODEL "Blind" is out now: https://smarturl.it/blindRM
New merch available: https://merch.heyrolemodel.com/
Directed by William DeSena
Executive Producers: Nick Martini & Mac Hedges
Producer: Eric Cook
Actress: Madison Lawlor
Choreographer: Toogie
Director of Photography: Mack Fisher
1st AC: Loren Hamilton
Angler Operator (MoCo): Robert Morgan
Production Designer/Stylist: Aurelie Taillefer
Art Director: Erika Lagual
Key Grip: Matt Planer
Chief Lighting Technician: Ryan Oppedisano
HMU: Ashley Simmons
Editor: John Marsico
Colorist: Joseph Bicknell
VFX: Max Krone
Title Designer: Rachael Ward
Production Assistants: Carlos Salazar & Nnamdi Ward
Medic: C.S. King
Special Thanks:
Vault Rentals
Cam Riley
Alex Martini
Jameson Walter
Kate Blasco
India Harvey
Laura Cushing
Company 3
...
published: 22 Jul 2020
-
Brent Faiyaz - ROLE MODEL (Lyrics)
🔊 Brent Faiyaz - ROLE MODEL (Lyrics)
Listen to "ROLE MODEL" on Spotify:
https://open.spotify.com/track/1wGpEisE7VmhhSazD8hZ5l?si=ec5876b7d1c948a0
⚡ Blissful Mind Spotify Playlist:
https://open.spotify.com/playlist/7JgsNAifzXVZPGlMRQ1s25
Follow Brent Faiyaz:
https://www.instagram.com/brentfaiyaz
https://twitter.com/brentfaiyaz
https://www.facebook.com/brentfaiyaz
(LYRICS)
[Chorus]
I'll be your role model
Don't leave the house tomorrow
I gotta meet with Audemars
Tell me what you want
You say you had enough 'cause my time ain't enough
Girl, it's never enough for you
But you can wait until after tomorrow
Flawless, lawless, baby, what you call this?
If this shit don't involve money, I'm off it
I can be your role model, Jimi Hendrix
Pop a pill with me before we end it
[Verse 1]
No more...
published: 17 Jun 2023
-
ROLE MODEL - a little more time
Stream and download “a little more time” – https://RoleModel.lnk.to/almt
Connect w/ ROLE MODEL-
Website - https://www.heyrolemodel.com/
Instagram - https://www.instagram.com/rolemodel/
Twitter - https://twitter.com/rolemodel
Facebook - https://www.facebook.com/heyrolemodel/
Soundcloud - https://soundcloud.com/heyrolemodel
Spotify - https://spoti.fi/3ixN9mP
Apple Music - https://apple.co/3kyL3pE
Lyrics-
In a city with no seasons
In a house that’s not a home
Honey you’re the only reason
I don’t quite feel alone
Am I permanently broken
Or is it just the sunshine blues
Could you keep those arms wide open
In case I get these legs to move
I could use a rain shower, blue hour, two hour drive upstate
Sunflower, will power, maybe all it’s really gonna take is
A little more time with you
A lit...
published: 17 Feb 2023
-
Role Model (2023) Full Movie | Family Drama | Redemption
PARENTAL DISCRETION IS ADVISED
A self-centered young man skips town when he finds out his wife is pregnant, all the while being hauntingly visited by his estranged father, who tries to help him confront his issues before losing his family forever.
Directed by David Nemeth
Starring Chandler Storm, Christina Aponte, Mark E Holmes, Retta Aughtry, Princeton Drake, Phoebe Jones
► Subscribe to get all the latest content https://bit.ly/3aOfZft
► About
EncourageTV brings you the best selection of FREE Family-Friendly, Kid-Friendly, Faith-Friendly and Christian content available anywhere! Brought to you by Bridgestone Multimedia Group (BMG Global), ETV’s mission is to provide quality, trusted entertainment that is appropriate for viewers of all ages. We want our audience to feel inspired and ful...
published: 01 Dec 2023
-
ROLE MODEL - forever&more (Official Music Video)
“forever&more” available now - https://RoleModel.lnk.to/foreverandmore
Connect w/ ROLE MODEL-
Website - https://www.heyrolemodel.com/
Tour Dates - http://www.heyrolemodel.com/tour
Instagram - https://www.instagram.com/rolemodel/
Twitter - https://twitter.com/rolemodel
Facebook - https://www.facebook.com/heyrolemodel/
Soundcloud - https://soundcloud.com/heyrolemodel
Spotify - https://spoti.fi/3ixN9mP
Apple Music - https://apple.co/3kyL3pE
Lyrics-
by the end of the summer
she was a lover
I saw her ex and he’s dressin like me
hair kinda messy like me
nobody gets it like me
we made it to winter
naked at dinner
standing on seats cuz they playing our song
the waiters always takin too long
or maybe we’re staying too long
ooouuuu
I bet the boys back home are mad
I found an angel wear...
published: 22 Jul 2021
-
ROLE MODEL - notice me (acoustic)
notice me (acoustic) - a song by ROLE MODEL
Listen - https://smarturl.it/noticemeacoustic
Official channels of ROLE MODEL
Instagram: https://www.instagram.com/heyrolemodel/
Twitter: https://twitter.com/heyrolemodel
Facebook: https://www.facebook.com/heyrolemodel/
Website: https://heyrolemodel.com/
#ROLEMODEL #noticeme #ohhowperfect
Music video by ROLE MODEL performing notice me (Acoustic). © 2020 Interscope Records
http://vevo.ly/1uNIVC
published: 05 Feb 2020
3:15
Brent Faiyaz - ROLE MODEL [Official Audio]
Brent Faiyaz - ROLE MODEL
🔔 Subscribe to Brent Faiyaz’s channel: https://bit.ly/3PQrJD6
Follow or Text Brent Faiyaz: +1 (443) 637-6100
https://www.instagram.c...
Brent Faiyaz - ROLE MODEL
🔔 Subscribe to Brent Faiyaz’s channel: https://bit.ly/3PQrJD6
Follow or Text Brent Faiyaz: +1 (443) 637-6100
https://www.instagram.com/brentfaiyaz
https://www.facebook.com/brentfaiyaz
https://twitter.com/brentfaiyaz
https://brentfaiyaz.com/
Courtesy of Lost Kids
#BrentFaiyaz #RnB #RoleModel
https://wn.com/Brent_Faiyaz_Role_Model_Official_Audio
Brent Faiyaz - ROLE MODEL
🔔 Subscribe to Brent Faiyaz’s channel: https://bit.ly/3PQrJD6
Follow or Text Brent Faiyaz: +1 (443) 637-6100
https://www.instagram.com/brentfaiyaz
https://www.facebook.com/brentfaiyaz
https://twitter.com/brentfaiyaz
https://brentfaiyaz.com/
Courtesy of Lost Kids
#BrentFaiyaz #RnB #RoleModel
- published: 08 Jul 2022
- views: 4310635
3:59
Eminem - Role Model (Official Music Video)
REMASTERED IN HD!!
Official Music Video for Role Model performed by Eminem.
(C) 1999 Aftermath Entertainment/Interscope Records
#Eminem #RoleModel #Remastere...
REMASTERED IN HD!!
Official Music Video for Role Model performed by Eminem.
(C) 1999 Aftermath Entertainment/Interscope Records
#Eminem #RoleModel #Remastered
https://wn.com/Eminem_Role_Model_(Official_Music_Video)
REMASTERED IN HD!!
Official Music Video for Role Model performed by Eminem.
(C) 1999 Aftermath Entertainment/Interscope Records
#Eminem #RoleModel #Remastered
- published: 25 Dec 2009
- views: 35451283
3:04
ROLE MODEL - neverletyougo (Official Music Video)
Stream and download “neverletyougo ” respectfully -
http://RoleModel.lnk.to/neverletyougo
ROLE MODEL's new album “Rx” available now - http://RoleModel.lnk.to/...
Stream and download “neverletyougo ” respectfully -
http://RoleModel.lnk.to/neverletyougo
ROLE MODEL's new album “Rx” available now - http://RoleModel.lnk.to/rxalbum
Connect w/ ROLE MODEL-
Website - https://www.heyrolemodel.com/
Tour Dates - http://www.heyrolemodel.com/tour
Instagram - https://www.instagram.com/rolemodel/
Twitter - https://twitter.com/rolemodel
Facebook - https://www.facebook.com/heyrolemodel/
Soundcloud - https://soundcloud.com/heyrolemodel
Spotify - https://spoti.fi/3ixN9mP
Apple Music - https://apple.co/3kyL3pE
Credits:
Directed by Dylan Knight & Ben Goodman
DP: Scott Ray
Production Manager: Eli Powers
AC: Steven Tong
Steadicam: Franz Burn
Location Manager: Gita Nandan
Colorist: Ben Goodman
VFX: Scissor Films
#ROLEMODEL #NEVERLETYOUGO #RX
Music video by ROLE MODEL performing neverletyougo. © 2022 Interscope Records
http://vevo.ly/c6EXJY
https://wn.com/Role_Model_Neverletyougo_(Official_Music_Video)
Stream and download “neverletyougo ” respectfully -
http://RoleModel.lnk.to/neverletyougo
ROLE MODEL's new album “Rx” available now - http://RoleModel.lnk.to/rxalbum
Connect w/ ROLE MODEL-
Website - https://www.heyrolemodel.com/
Tour Dates - http://www.heyrolemodel.com/tour
Instagram - https://www.instagram.com/rolemodel/
Twitter - https://twitter.com/rolemodel
Facebook - https://www.facebook.com/heyrolemodel/
Soundcloud - https://soundcloud.com/heyrolemodel
Spotify - https://spoti.fi/3ixN9mP
Apple Music - https://apple.co/3kyL3pE
Credits:
Directed by Dylan Knight & Ben Goodman
DP: Scott Ray
Production Manager: Eli Powers
AC: Steven Tong
Steadicam: Franz Burn
Location Manager: Gita Nandan
Colorist: Ben Goodman
VFX: Scissor Films
#ROLEMODEL #NEVERLETYOUGO #RX
Music video by ROLE MODEL performing neverletyougo. © 2022 Interscope Records
http://vevo.ly/c6EXJY
- published: 25 Mar 2022
- views: 4724527
3:35
ROLE MODEL - going out (Official Video)
ROLE MODEL "going out" is out now: https://smarturl.it/goingoutRM
New merch available: https://merch.heyrolemodel.com/
Official channels of ROLE MODEL:
Web: ht...
ROLE MODEL "going out" is out now: https://smarturl.it/goingoutRM
New merch available: https://merch.heyrolemodel.com/
Official channels of ROLE MODEL:
Web: https://www.heyrolemodel.com/
Instagram: https://www.instagram.com/rolemodel/
Twitter: https://twitter.com/heyrolemodel
Facebook: https://www.facebook.com/heyrolemodel/
#ROLEMODEL #goingout
Music video by ROLE MODEL performing going out. © 2020 Interscope Records
https://wn.com/Role_Model_Going_Out_(Official_Video)
ROLE MODEL "going out" is out now: https://smarturl.it/goingoutRM
New merch available: https://merch.heyrolemodel.com/
Official channels of ROLE MODEL:
Web: https://www.heyrolemodel.com/
Instagram: https://www.instagram.com/rolemodel/
Twitter: https://twitter.com/heyrolemodel
Facebook: https://www.facebook.com/heyrolemodel/
#ROLEMODEL #goingout
Music video by ROLE MODEL performing going out. © 2020 Interscope Records
- published: 07 Oct 2020
- views: 6015330
2:48
ROLE MODEL - blind (Official Video)
ROLE MODEL "Blind" is out now: https://smarturl.it/blindRM
New merch available: https://merch.heyrolemodel.com/
Directed by William DeSena
Executive Producers...
ROLE MODEL "Blind" is out now: https://smarturl.it/blindRM
New merch available: https://merch.heyrolemodel.com/
Directed by William DeSena
Executive Producers: Nick Martini & Mac Hedges
Producer: Eric Cook
Actress: Madison Lawlor
Choreographer: Toogie
Director of Photography: Mack Fisher
1st AC: Loren Hamilton
Angler Operator (MoCo): Robert Morgan
Production Designer/Stylist: Aurelie Taillefer
Art Director: Erika Lagual
Key Grip: Matt Planer
Chief Lighting Technician: Ryan Oppedisano
HMU: Ashley Simmons
Editor: John Marsico
Colorist: Joseph Bicknell
VFX: Max Krone
Title Designer: Rachael Ward
Production Assistants: Carlos Salazar & Nnamdi Ward
Medic: C.S. King
Special Thanks:
Vault Rentals
Cam Riley
Alex Martini
Jameson Walter
Kate Blasco
India Harvey
Laura Cushing
Company 3
AG
Bowie
Official channels of ROLE MODEL:
Web: https://www.heyrolemodel.com/
Instagram: https://www.instagram.com/rolemodel/
Twitter: https://twitter.com/heyrolemodel
Facebook: https://www.facebook.com/heyrolemodel/
#ROLEMODEL #Blind
https://wn.com/Role_Model_Blind_(Official_Video)
ROLE MODEL "Blind" is out now: https://smarturl.it/blindRM
New merch available: https://merch.heyrolemodel.com/
Directed by William DeSena
Executive Producers: Nick Martini & Mac Hedges
Producer: Eric Cook
Actress: Madison Lawlor
Choreographer: Toogie
Director of Photography: Mack Fisher
1st AC: Loren Hamilton
Angler Operator (MoCo): Robert Morgan
Production Designer/Stylist: Aurelie Taillefer
Art Director: Erika Lagual
Key Grip: Matt Planer
Chief Lighting Technician: Ryan Oppedisano
HMU: Ashley Simmons
Editor: John Marsico
Colorist: Joseph Bicknell
VFX: Max Krone
Title Designer: Rachael Ward
Production Assistants: Carlos Salazar & Nnamdi Ward
Medic: C.S. King
Special Thanks:
Vault Rentals
Cam Riley
Alex Martini
Jameson Walter
Kate Blasco
India Harvey
Laura Cushing
Company 3
AG
Bowie
Official channels of ROLE MODEL:
Web: https://www.heyrolemodel.com/
Instagram: https://www.instagram.com/rolemodel/
Twitter: https://twitter.com/heyrolemodel
Facebook: https://www.facebook.com/heyrolemodel/
#ROLEMODEL #Blind
- published: 22 Jul 2020
- views: 3500666
3:14
Brent Faiyaz - ROLE MODEL (Lyrics)
🔊 Brent Faiyaz - ROLE MODEL (Lyrics)
Listen to "ROLE MODEL" on Spotify:
https://open.spotify.com/track/1wGpEisE7VmhhSazD8hZ5l?si=ec5876b7d1c948a0
⚡ Blissful M...
🔊 Brent Faiyaz - ROLE MODEL (Lyrics)
Listen to "ROLE MODEL" on Spotify:
https://open.spotify.com/track/1wGpEisE7VmhhSazD8hZ5l?si=ec5876b7d1c948a0
⚡ Blissful Mind Spotify Playlist:
https://open.spotify.com/playlist/7JgsNAifzXVZPGlMRQ1s25
Follow Brent Faiyaz:
https://www.instagram.com/brentfaiyaz
https://twitter.com/brentfaiyaz
https://www.facebook.com/brentfaiyaz
(LYRICS)
[Chorus]
I'll be your role model
Don't leave the house tomorrow
I gotta meet with Audemars
Tell me what you want
You say you had enough 'cause my time ain't enough
Girl, it's never enough for you
But you can wait until after tomorrow
Flawless, lawless, baby, what you call this?
If this shit don't involve money, I'm off it
I can be your role model, Jimi Hendrix
Pop a pill with me before we end it
[Verse 1]
No more Ghosts, Wraiths or GT3s (No)
No more award shows, no MTV (No)
So you always double-back after you leave? (Oh)
Bitch, where you gon' go after you been with me?
I done seen it all 'fore I turned twenty-three
I could teach you how to ball if you just let a nigga be
We be so high, that's why we so low-key
She wanna fly out with you, let's make three
[Chorus]
I'll be your role model
Don't leave the house tomorrow
I gotta meet with Audemars
Tell me what you want
You say you had enough 'cause my time ain't enough
Girl, it's never enough for you
But you can wait until after tomorrow
Flawless, lawless, baby, what you call this?
If this shit don't involve money, I'm off it
I can be your role model, Jimi Hendrix
Pop a pill with me before we end it
[Verse 2]
Uh, us against the globe
Don't let your attitude ruin what we got
Never stressing if you just lay low
I'll give you lessons, it's so much to know
Go full speed when I say go (Go)
Don't push me when I say no
Yeah, it don't look cheap 'cause it cost O's
And you can't book me less than M for a show
[Chorus]
I'll be your role model
Don't leave the house tomorrow
I gotta meet with Audemars
Tell me what you want
You say you had enough 'cause my time ain't enough
Girl, it's never enough for you
But you can wait until after tomorrow
Flawless, lawless, baby, what you call this?
If this shit don't involve money, I'm off it
I can be your role model, Jimi Hendrix
Pop a pill with me before we end it
[Outro]
You say you had enough 'cause my time ain't enough
And it's never enough for you
But you can wait until after tomorrow
https://wn.com/Brent_Faiyaz_Role_Model_(Lyrics)
🔊 Brent Faiyaz - ROLE MODEL (Lyrics)
Listen to "ROLE MODEL" on Spotify:
https://open.spotify.com/track/1wGpEisE7VmhhSazD8hZ5l?si=ec5876b7d1c948a0
⚡ Blissful Mind Spotify Playlist:
https://open.spotify.com/playlist/7JgsNAifzXVZPGlMRQ1s25
Follow Brent Faiyaz:
https://www.instagram.com/brentfaiyaz
https://twitter.com/brentfaiyaz
https://www.facebook.com/brentfaiyaz
(LYRICS)
[Chorus]
I'll be your role model
Don't leave the house tomorrow
I gotta meet with Audemars
Tell me what you want
You say you had enough 'cause my time ain't enough
Girl, it's never enough for you
But you can wait until after tomorrow
Flawless, lawless, baby, what you call this?
If this shit don't involve money, I'm off it
I can be your role model, Jimi Hendrix
Pop a pill with me before we end it
[Verse 1]
No more Ghosts, Wraiths or GT3s (No)
No more award shows, no MTV (No)
So you always double-back after you leave? (Oh)
Bitch, where you gon' go after you been with me?
I done seen it all 'fore I turned twenty-three
I could teach you how to ball if you just let a nigga be
We be so high, that's why we so low-key
She wanna fly out with you, let's make three
[Chorus]
I'll be your role model
Don't leave the house tomorrow
I gotta meet with Audemars
Tell me what you want
You say you had enough 'cause my time ain't enough
Girl, it's never enough for you
But you can wait until after tomorrow
Flawless, lawless, baby, what you call this?
If this shit don't involve money, I'm off it
I can be your role model, Jimi Hendrix
Pop a pill with me before we end it
[Verse 2]
Uh, us against the globe
Don't let your attitude ruin what we got
Never stressing if you just lay low
I'll give you lessons, it's so much to know
Go full speed when I say go (Go)
Don't push me when I say no
Yeah, it don't look cheap 'cause it cost O's
And you can't book me less than M for a show
[Chorus]
I'll be your role model
Don't leave the house tomorrow
I gotta meet with Audemars
Tell me what you want
You say you had enough 'cause my time ain't enough
Girl, it's never enough for you
But you can wait until after tomorrow
Flawless, lawless, baby, what you call this?
If this shit don't involve money, I'm off it
I can be your role model, Jimi Hendrix
Pop a pill with me before we end it
[Outro]
You say you had enough 'cause my time ain't enough
And it's never enough for you
But you can wait until after tomorrow
- published: 17 Jun 2023
- views: 246033
3:33
ROLE MODEL - a little more time
Stream and download “a little more time” – https://RoleModel.lnk.to/almt
Connect w/ ROLE MODEL-
Website - https://www.heyrolemodel.com/
Instagram - https://ww...
Stream and download “a little more time” – https://RoleModel.lnk.to/almt
Connect w/ ROLE MODEL-
Website - https://www.heyrolemodel.com/
Instagram - https://www.instagram.com/rolemodel/
Twitter - https://twitter.com/rolemodel
Facebook - https://www.facebook.com/heyrolemodel/
Soundcloud - https://soundcloud.com/heyrolemodel
Spotify - https://spoti.fi/3ixN9mP
Apple Music - https://apple.co/3kyL3pE
Lyrics-
In a city with no seasons
In a house that’s not a home
Honey you’re the only reason
I don’t quite feel alone
Am I permanently broken
Or is it just the sunshine blues
Could you keep those arms wide open
In case I get these legs to move
I could use a rain shower, blue hour, two hour drive upstate
Sunflower, will power, maybe all it’s really gonna take is
A little more time with you
A little more time with you
A little more time with you
Repetition in the weather
Started messing with my head
You say we’re miserable together
That’s all that gets me out of bed
I could use a rain shower, blue hour, two hour drive upstate
Sunflower, will power, maybe all it’s really gonna take is
A little more time with you
A little more time with you
A little more time with you
I’ve tried everything to feel anything
I’ve tried everything to feel anything
I could use a rain shower, blue hour, two hour drive upstate
Sunflower, will power, maybe all it’s really gonna take is
A little more time with you
A little more time with you
A little more time with you
Just a little bit
Just a little bit
Directed by Emma Chamberlain and Tucker Pillsbury
Filmed and Edited by Emma Chamberlain
#ROLEMODEL #alittlemoretime
Music video by ROLE MODEL performing a little more time. © 2023 Interscope Records
http://vevo.ly/iEkW9b
https://wn.com/Role_Model_A_Little_More_Time
Stream and download “a little more time” – https://RoleModel.lnk.to/almt
Connect w/ ROLE MODEL-
Website - https://www.heyrolemodel.com/
Instagram - https://www.instagram.com/rolemodel/
Twitter - https://twitter.com/rolemodel
Facebook - https://www.facebook.com/heyrolemodel/
Soundcloud - https://soundcloud.com/heyrolemodel
Spotify - https://spoti.fi/3ixN9mP
Apple Music - https://apple.co/3kyL3pE
Lyrics-
In a city with no seasons
In a house that’s not a home
Honey you’re the only reason
I don’t quite feel alone
Am I permanently broken
Or is it just the sunshine blues
Could you keep those arms wide open
In case I get these legs to move
I could use a rain shower, blue hour, two hour drive upstate
Sunflower, will power, maybe all it’s really gonna take is
A little more time with you
A little more time with you
A little more time with you
Repetition in the weather
Started messing with my head
You say we’re miserable together
That’s all that gets me out of bed
I could use a rain shower, blue hour, two hour drive upstate
Sunflower, will power, maybe all it’s really gonna take is
A little more time with you
A little more time with you
A little more time with you
I’ve tried everything to feel anything
I’ve tried everything to feel anything
I could use a rain shower, blue hour, two hour drive upstate
Sunflower, will power, maybe all it’s really gonna take is
A little more time with you
A little more time with you
A little more time with you
Just a little bit
Just a little bit
Directed by Emma Chamberlain and Tucker Pillsbury
Filmed and Edited by Emma Chamberlain
#ROLEMODEL #alittlemoretime
Music video by ROLE MODEL performing a little more time. © 2023 Interscope Records
http://vevo.ly/iEkW9b
- published: 17 Feb 2023
- views: 1083186
1:19:43
Role Model (2023) Full Movie | Family Drama | Redemption
PARENTAL DISCRETION IS ADVISED
A self-centered young man skips town when he finds out his wife is pregnant, all the while being hauntingly visited by his estran...
PARENTAL DISCRETION IS ADVISED
A self-centered young man skips town when he finds out his wife is pregnant, all the while being hauntingly visited by his estranged father, who tries to help him confront his issues before losing his family forever.
Directed by David Nemeth
Starring Chandler Storm, Christina Aponte, Mark E Holmes, Retta Aughtry, Princeton Drake, Phoebe Jones
► Subscribe to get all the latest content https://bit.ly/3aOfZft
► About
EncourageTV brings you the best selection of FREE Family-Friendly, Kid-Friendly, Faith-Friendly and Christian content available anywhere! Brought to you by Bridgestone Multimedia Group (BMG Global), ETV’s mission is to provide quality, trusted entertainment that is appropriate for viewers of all ages. We want our audience to feel inspired and fulfilled by the programming that we offer and therefore all of our content is carefully evaluated to adhere to our standards.
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#EncourageTV #FullMovies
https://wn.com/Role_Model_(2023)_Full_Movie_|_Family_Drama_|_Redemption
PARENTAL DISCRETION IS ADVISED
A self-centered young man skips town when he finds out his wife is pregnant, all the while being hauntingly visited by his estranged father, who tries to help him confront his issues before losing his family forever.
Directed by David Nemeth
Starring Chandler Storm, Christina Aponte, Mark E Holmes, Retta Aughtry, Princeton Drake, Phoebe Jones
► Subscribe to get all the latest content https://bit.ly/3aOfZft
► About
EncourageTV brings you the best selection of FREE Family-Friendly, Kid-Friendly, Faith-Friendly and Christian content available anywhere! Brought to you by Bridgestone Multimedia Group (BMG Global), ETV’s mission is to provide quality, trusted entertainment that is appropriate for viewers of all ages. We want our audience to feel inspired and fulfilled by the programming that we offer and therefore all of our content is carefully evaluated to adhere to our standards.
► Connect with us online and our socials:
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#EncourageTV #FullMovies
- published: 01 Dec 2023
- views: 32861
2:56
ROLE MODEL - forever&more (Official Music Video)
“forever&more” available now - https://RoleModel.lnk.to/foreverandmore
Connect w/ ROLE MODEL-
Website - https://www.heyrolemodel.com/
Tour Dates - http://www...
“forever&more” available now - https://RoleModel.lnk.to/foreverandmore
Connect w/ ROLE MODEL-
Website - https://www.heyrolemodel.com/
Tour Dates - http://www.heyrolemodel.com/tour
Instagram - https://www.instagram.com/rolemodel/
Twitter - https://twitter.com/rolemodel
Facebook - https://www.facebook.com/heyrolemodel/
Soundcloud - https://soundcloud.com/heyrolemodel
Spotify - https://spoti.fi/3ixN9mP
Apple Music - https://apple.co/3kyL3pE
Lyrics-
by the end of the summer
she was a lover
I saw her ex and he’s dressin like me
hair kinda messy like me
nobody gets it like me
we made it to winter
naked at dinner
standing on seats cuz they playing our song
the waiters always takin too long
or maybe we’re staying too long
ooouuuu
I bet the boys back home are mad
I found an angel wearing plaid
you’ll meet her soon
(hey hey hey)
I’ve never felt like this before
can’t pick myself up off the floor
that’s something new
I’m stuck with you
forever, ever, forever, ever, forever, ever and more
it feels like I’m faded
She’s gettin naked
we went to a party and we’re hiding upstairs
your ladies tellin you it ain’t fair
you threw your phone started tying your hair
she move like madonna
do what she wanna
I put her on her back and I tell her she’s mine
(MINE)
wrote her name all over my spine
she don’t pay rent but she stay in my mind
ooouuuu
I bet the boys back home are mad
I found an angel wearing plaid
you’ll meet her soon
oouuu
I’ve never felt like this before
can’t pick myself up off the floor
that’s something new
I’m stuck with you
forever, ever, forever, ever, forever, ever and more
Credits-
Production Company: The Resource Room, Inc.
Director: Dylan Knight
Executive Producer: Todd Blumberg
Producers: Rafael Thomaseto & Helena Sardinha
Director of Photography: Ben Goodman
#ROLEMODEL #foreverandmore
Music video by ROLE MODEL performing forever&more. © 2021 Interscope Records
http://vevo.ly/5CT09B
https://wn.com/Role_Model_Forever_More_(Official_Music_Video)
“forever&more” available now - https://RoleModel.lnk.to/foreverandmore
Connect w/ ROLE MODEL-
Website - https://www.heyrolemodel.com/
Tour Dates - http://www.heyrolemodel.com/tour
Instagram - https://www.instagram.com/rolemodel/
Twitter - https://twitter.com/rolemodel
Facebook - https://www.facebook.com/heyrolemodel/
Soundcloud - https://soundcloud.com/heyrolemodel
Spotify - https://spoti.fi/3ixN9mP
Apple Music - https://apple.co/3kyL3pE
Lyrics-
by the end of the summer
she was a lover
I saw her ex and he’s dressin like me
hair kinda messy like me
nobody gets it like me
we made it to winter
naked at dinner
standing on seats cuz they playing our song
the waiters always takin too long
or maybe we’re staying too long
ooouuuu
I bet the boys back home are mad
I found an angel wearing plaid
you’ll meet her soon
(hey hey hey)
I’ve never felt like this before
can’t pick myself up off the floor
that’s something new
I’m stuck with you
forever, ever, forever, ever, forever, ever and more
it feels like I’m faded
She’s gettin naked
we went to a party and we’re hiding upstairs
your ladies tellin you it ain’t fair
you threw your phone started tying your hair
she move like madonna
do what she wanna
I put her on her back and I tell her she’s mine
(MINE)
wrote her name all over my spine
she don’t pay rent but she stay in my mind
ooouuuu
I bet the boys back home are mad
I found an angel wearing plaid
you’ll meet her soon
oouuu
I’ve never felt like this before
can’t pick myself up off the floor
that’s something new
I’m stuck with you
forever, ever, forever, ever, forever, ever and more
Credits-
Production Company: The Resource Room, Inc.
Director: Dylan Knight
Executive Producer: Todd Blumberg
Producers: Rafael Thomaseto & Helena Sardinha
Director of Photography: Ben Goodman
#ROLEMODEL #foreverandmore
Music video by ROLE MODEL performing forever&more. © 2021 Interscope Records
http://vevo.ly/5CT09B
- published: 22 Jul 2021
- views: 2306109
3:16
ROLE MODEL - notice me (acoustic)
notice me (acoustic) - a song by ROLE MODEL
Listen - https://smarturl.it/noticemeacoustic
Official channels of ROLE MODEL
Instagram: https://www.instagram.c...
notice me (acoustic) - a song by ROLE MODEL
Listen - https://smarturl.it/noticemeacoustic
Official channels of ROLE MODEL
Instagram: https://www.instagram.com/heyrolemodel/
Twitter: https://twitter.com/heyrolemodel
Facebook: https://www.facebook.com/heyrolemodel/
Website: https://heyrolemodel.com/
#ROLEMODEL #noticeme #ohhowperfect
Music video by ROLE MODEL performing notice me (Acoustic). © 2020 Interscope Records
http://vevo.ly/1uNIVC
https://wn.com/Role_Model_Notice_Me_(Acoustic)
notice me (acoustic) - a song by ROLE MODEL
Listen - https://smarturl.it/noticemeacoustic
Official channels of ROLE MODEL
Instagram: https://www.instagram.com/heyrolemodel/
Twitter: https://twitter.com/heyrolemodel
Facebook: https://www.facebook.com/heyrolemodel/
Website: https://heyrolemodel.com/
#ROLEMODEL #noticeme #ohhowperfect
Music video by ROLE MODEL performing notice me (Acoustic). © 2020 Interscope Records
http://vevo.ly/1uNIVC
- published: 05 Feb 2020
- views: 4233488
-
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) t...
published: 27 Oct 2022
-
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a...
published: 07 Apr 2021
-
Training a custom ENTITY LINKING model with spaCy
spaCy is an open-source library for advanced Natural Language Processing in Python. In this video, we show you how to create a custom Entity Linking model in spaCy to disambiguate different mentions of the person "Emerson" to unique identifiers in a knowledge base. We accomplish this by training a machine learning model on some text annotated from scratch with Prodigy. You can follow along in this notebook: https://github.com/explosion/projects/tree/master/nel-emerson/scripts/notebook_video.ipynb
STEP BY STEP
00:00 – Introduction to the Entity Linking challenge
04:52 – Set up the knowledge base
10:30 – Annotate training data with Prodigy
19:19 – Parse the training data into the required format for spaCy
23:12 – Create and train the Entity Linking component
25:36 – Test the EL component o...
published: 07 May 2020
-
Lecture 41 — Word Sense Disambiguation - Natural Language Processing | Michigan
🔔 Stay Connected! Get the latest insights on Artificial Intelligence (AI) 🧠, Natural Language Processing (NLP) 📝, and Large Language Models (LLMs) 🤖. Follow (https://twitter.com/mtnayeem) on Twitter 🐦 for real-time updates, news, and discussions in the field.
Check out the following interesting papers. Happy learning!
Paper Title: "On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction"
Paper: https://aclanthology.org/2023.findings-eacl.125/
Dataset: https://huggingface.co/datasets/tafseer-nayeem/review_helpfulness_prediction
Paper Title: "Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion"
Paper: https://aclanthology.org/C18-1102/
Paper Title: "Extract with Order for Coherent Multi-Document Summarization"
Paper: https://aclan...
published: 27 Mar 2016
-
Bootleg: Guidable Self-Supervision for Named Entity Disambiguation -- Chris Re (Stanford University)
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguation (NED). A key challenge in NED is generalizing to rarely seen (tail) entities. Traditionally NED uses hand-tuned patterns from a knowledge base to capture rare, but reliable, signals. Hand-built features make it challenging to deploy and maintain NED–especially in multiple locales. While at Apple in 2018, we built a self-supervised system for NED that was deployed in a handful of locales and that improved performance of downstream models significantly. However, due to the fog of production, it was unclear what aspects of these models were most valuable. Motivated by this experience, we built Bootleg, a clean-slate, open-source, s...
published: 12 Jan 2023
-
Entity Disambiguation
This lecture introduces entity disambiguation - linking entities to an external knowledgebase like Wikipedia
published: 20 Apr 2023
-
Roberto Navigli - Generationary & Exemplification Modeling: Going Beyond Word Sense Disambiguation
NLP Talk Series - 2
.
Description and the abstract are down below 👇👇👇👇👇
Hosted By SBU NLP LAB
Checkout new webinars :
http://nlp.sbu.ac.ir/webinars/
Follow and subscribe to us :
http://nlp.sbu.ac.ir/
http://linkedin.com/company/sbunlplab
https://www.instagram.com/sbunlplab
https://twitter.com/sbunlplab
#sbunlplab
#nlptalkseries
#naturallanguageprocessing
#natural_language_processing
#nlp
.
.
.
Roberto Navigli :
Full professor in the Department of Computer, Control and Management Engineering at the Sapienza University of Rome and the head of the Sapienza NLP Group,
Creator of BabelNet
Title : Generationary and Exemplification Modeling: Going Beyond Word Sense Disambiguation by Generating Definitions and Usage Examples
Abstract :
In this talk, I present two novel approaches, Genera...
published: 29 Jun 2021
-
🖋 Word Sense Disambiguation in Colab using KerasNLP.
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/wordnet_onto
📝 Research paper: https://www.mdpi.com/2076-3417/14/13/5550
published: 13 May 2024
-
CS224u - Distributed word representations: word-sense disambiguation
published: 20 Mar 2015
-
KGC 2022: KG-Based Approach to Named Entity Disambiguation for Healthcare Applications — GraphAware
Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the healthcare domain and combine multiple knowledge graphs and ontologies in a single valuable source of truth.
The approach incorporates node embeddings into the NED model, employing the KG structure for the training process.
The tool can support different healthcare applications, including literature search and retrieval, clinical decision-making, relational knowledge findings, chatbots for health assistance, and recommendation tools for patients and medical practitioners.
Giuseppe Futia holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the auto...
published: 03 Nov 2022
4:54
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be i...
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) to improve albedo estimation and, hence, fairness. Specifically, we create the first facial albedo evaluation benchmark where subjects are balanced in terms of skin color, and measure accuracy using the Individual Typology Angle (ITA) metric. We then address the light/albedo ambiguity by building on a key observation: the image of the full scene –as opposed to a cropped image of the face– contains important information about lighting that can be used for disambiguation. TRUST regresses facial albedo by conditioning on both the face region and a global illumination signal obtained from the scene image. Our experimental results show significant improvement compared to state- of-the-art methods on albedo estimation, both in terms of accuracy and fairness. The evaluation benchmark and code are available for research purposes at https://trust.is.tue.mpg.de.
PDF: https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136730072.pdf
Project: https://trust.is.tue.mpg.de/index.html
Code: https://github.com/HavenFeng/TRUST
Dataset: https://trust.is.tue.mpg.de/login.php
Reference:
@inproceedings{TRUST:ECCV2022,
title = {Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation},
author = {Feng, Haiwen and Bolkart, Timo and Tesch, Joachim and Black, Michael J. and Abrevaya, Victoria},
booktitle = {European Conference on Computer Vision (ECCV)},
publisher = {Springer International Publishing},
month = oct,
year = {2022},
doi = {},
month_numeric = {10}
}
https://wn.com/Towards_Racially_Unbiased_Skin_Tone_Estimation_Via_Scene_Disambiguation
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) to improve albedo estimation and, hence, fairness. Specifically, we create the first facial albedo evaluation benchmark where subjects are balanced in terms of skin color, and measure accuracy using the Individual Typology Angle (ITA) metric. We then address the light/albedo ambiguity by building on a key observation: the image of the full scene –as opposed to a cropped image of the face– contains important information about lighting that can be used for disambiguation. TRUST regresses facial albedo by conditioning on both the face region and a global illumination signal obtained from the scene image. Our experimental results show significant improvement compared to state- of-the-art methods on albedo estimation, both in terms of accuracy and fairness. The evaluation benchmark and code are available for research purposes at https://trust.is.tue.mpg.de.
PDF: https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136730072.pdf
Project: https://trust.is.tue.mpg.de/index.html
Code: https://github.com/HavenFeng/TRUST
Dataset: https://trust.is.tue.mpg.de/login.php
Reference:
@inproceedings{TRUST:ECCV2022,
title = {Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation},
author = {Feng, Haiwen and Bolkart, Timo and Tesch, Joachim and Black, Michael J. and Abrevaya, Victoria},
booktitle = {European Conference on Computer Vision (ECCV)},
publisher = {Springer International Publishing},
month = oct,
year = {2022},
doi = {},
month_numeric = {10}
}
- published: 27 Oct 2022
- views: 1065
11:18
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using t...
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems.
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
⏩ OUTLINE:
0:00 - Abstract
01:46 - Task Definition
02:11 - Data Collection approach
02:30 - WordNet Overview
03:35 - Sentence construction method table overview
05:27 - BERT(Token-CLS)
06:41 - GlossBERT
07:52 - Context-Gloss Pair with Weak Supervision
08:55 - GlossBERT(Token-CLS)
09:20 - GlossBERT(Sent-CLS)
09:44 - GlossBERT(Sent-CLS-WS)
10:09 - Results
⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
⏩ Paper: https://arxiv.org/abs/1908.07245v4
⏩ Code: https://github.com/HSLCY/GlossBERT
⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
⏩ Organisation: Fudan University
⏩ IMPORTANT LINKS
Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ
Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf
Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
*********************************************
⏩ Youtube - https://www.youtube.com/c/TechVizTheDataScienceGuy
⏩ Blog - https://prakhartechviz.blogspot.com
⏩ LinkedIn - https://linkedin.com/in/prakhar21
⏩ Medium - https://medium.com/@prakhar.mishra
⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
*********************************************
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
Tools I use for making videos :)
⏩ iPad - https://tinyurl.com/y39p6pwc
⏩ Apple Pencil - https://tinyurl.com/y5rk8txn
⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
https://wn.com/Glossbert_Bert_For_Word_Sense_Disambiguation_With_Gloss_Knowledge_(Research_Paper_Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems.
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
⏩ OUTLINE:
0:00 - Abstract
01:46 - Task Definition
02:11 - Data Collection approach
02:30 - WordNet Overview
03:35 - Sentence construction method table overview
05:27 - BERT(Token-CLS)
06:41 - GlossBERT
07:52 - Context-Gloss Pair with Weak Supervision
08:55 - GlossBERT(Token-CLS)
09:20 - GlossBERT(Sent-CLS)
09:44 - GlossBERT(Sent-CLS-WS)
10:09 - Results
⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
⏩ Paper: https://arxiv.org/abs/1908.07245v4
⏩ Code: https://github.com/HSLCY/GlossBERT
⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
⏩ Organisation: Fudan University
⏩ IMPORTANT LINKS
Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ
Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf
Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
*********************************************
⏩ Youtube - https://www.youtube.com/c/TechVizTheDataScienceGuy
⏩ Blog - https://prakhartechviz.blogspot.com
⏩ LinkedIn - https://linkedin.com/in/prakhar21
⏩ Medium - https://medium.com/@prakhar.mishra
⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
*********************************************
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
Tools I use for making videos :)
⏩ iPad - https://tinyurl.com/y39p6pwc
⏩ Apple Pencil - https://tinyurl.com/y5rk8txn
⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
- published: 07 Apr 2021
- views: 2095
28:24
Training a custom ENTITY LINKING model with spaCy
spaCy is an open-source library for advanced Natural Language Processing in Python. In this video, we show you how to create a custom Entity Linking model in sp...
spaCy is an open-source library for advanced Natural Language Processing in Python. In this video, we show you how to create a custom Entity Linking model in spaCy to disambiguate different mentions of the person "Emerson" to unique identifiers in a knowledge base. We accomplish this by training a machine learning model on some text annotated from scratch with Prodigy. You can follow along in this notebook: https://github.com/explosion/projects/tree/master/nel-emerson/scripts/notebook_video.ipynb
STEP BY STEP
00:00 – Introduction to the Entity Linking challenge
04:52 – Set up the knowledge base
10:30 – Annotate training data with Prodigy
19:19 – Parse the training data into the required format for spaCy
23:12 – Create and train the Entity Linking component
25:36 – Test the EL component on unseen data
SPACY & PRODIGY
● spaCy: https://spacy.io
● Free online course: https://course.spacy.io
● Prodigy website & docs: https://prodi.gy
THIS TUTORIAL
● Code & data: https://github.com/explosion/projects/tree/master/nel-emerson/
● Entity linking in spaCy (spaCy IRL talk): https://www.youtube.com/watch?v=PW3RJM8tDGo&list=PLBmcuObd5An4UC6jvK_-eSl6jCvP1gwXc&index=6
● Entity linking docs: https://spacy.io/usage/training#entity-linker
FOLLOW US
● Sofie Van Landeghem: https://twitter.com/OxyKodit
● Explosion: https://twitter.com/explosion_ai
https://wn.com/Training_A_Custom_Entity_Linking_Model_With_Spacy
spaCy is an open-source library for advanced Natural Language Processing in Python. In this video, we show you how to create a custom Entity Linking model in spaCy to disambiguate different mentions of the person "Emerson" to unique identifiers in a knowledge base. We accomplish this by training a machine learning model on some text annotated from scratch with Prodigy. You can follow along in this notebook: https://github.com/explosion/projects/tree/master/nel-emerson/scripts/notebook_video.ipynb
STEP BY STEP
00:00 – Introduction to the Entity Linking challenge
04:52 – Set up the knowledge base
10:30 – Annotate training data with Prodigy
19:19 – Parse the training data into the required format for spaCy
23:12 – Create and train the Entity Linking component
25:36 – Test the EL component on unseen data
SPACY & PRODIGY
● spaCy: https://spacy.io
● Free online course: https://course.spacy.io
● Prodigy website & docs: https://prodi.gy
THIS TUTORIAL
● Code & data: https://github.com/explosion/projects/tree/master/nel-emerson/
● Entity linking in spaCy (spaCy IRL talk): https://www.youtube.com/watch?v=PW3RJM8tDGo&list=PLBmcuObd5An4UC6jvK_-eSl6jCvP1gwXc&index=6
● Entity linking docs: https://spacy.io/usage/training#entity-linker
FOLLOW US
● Sofie Van Landeghem: https://twitter.com/OxyKodit
● Explosion: https://twitter.com/explosion_ai
- published: 07 May 2020
- views: 49536
20:07
Lecture 41 — Word Sense Disambiguation - Natural Language Processing | Michigan
🔔 Stay Connected! Get the latest insights on Artificial Intelligence (AI) 🧠, Natural Language Processing (NLP) 📝, and Large Language Models (LLMs) 🤖. Follow (ht...
🔔 Stay Connected! Get the latest insights on Artificial Intelligence (AI) 🧠, Natural Language Processing (NLP) 📝, and Large Language Models (LLMs) 🤖. Follow (https://twitter.com/mtnayeem) on Twitter 🐦 for real-time updates, news, and discussions in the field.
Check out the following interesting papers. Happy learning!
Paper Title: "On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction"
Paper: https://aclanthology.org/2023.findings-eacl.125/
Dataset: https://huggingface.co/datasets/tafseer-nayeem/review_helpfulness_prediction
Paper Title: "Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion"
Paper: https://aclanthology.org/C18-1102/
Paper Title: "Extract with Order for Coherent Multi-Document Summarization"
Paper: https://aclanthology.org/W17-2407.pdf
Paper Title: "Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation"
Paper: https://dl.acm.org/doi/abs/10.1145/3132847.3133106
Paper Title: "Neural Diverse Abstractive Sentence Compression Generation"
Paper: https://link.springer.com/chapter/10.1007/978-3-030-15719-7_14
https://wn.com/Lecture_41_—_Word_Sense_Disambiguation_Natural_Language_Processing_|_Michigan
🔔 Stay Connected! Get the latest insights on Artificial Intelligence (AI) 🧠, Natural Language Processing (NLP) 📝, and Large Language Models (LLMs) 🤖. Follow (https://twitter.com/mtnayeem) on Twitter 🐦 for real-time updates, news, and discussions in the field.
Check out the following interesting papers. Happy learning!
Paper Title: "On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction"
Paper: https://aclanthology.org/2023.findings-eacl.125/
Dataset: https://huggingface.co/datasets/tafseer-nayeem/review_helpfulness_prediction
Paper Title: "Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion"
Paper: https://aclanthology.org/C18-1102/
Paper Title: "Extract with Order for Coherent Multi-Document Summarization"
Paper: https://aclanthology.org/W17-2407.pdf
Paper Title: "Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation"
Paper: https://dl.acm.org/doi/abs/10.1145/3132847.3133106
Paper Title: "Neural Diverse Abstractive Sentence Compression Generation"
Paper: https://link.springer.com/chapter/10.1007/978-3-030-15719-7_14
- published: 27 Mar 2016
- views: 14931
56:30
Bootleg: Guidable Self-Supervision for Named Entity Disambiguation -- Chris Re (Stanford University)
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguat...
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguation (NED). A key challenge in NED is generalizing to rarely seen (tail) entities. Traditionally NED uses hand-tuned patterns from a knowledge base to capture rare, but reliable, signals. Hand-built features make it challenging to deploy and maintain NED–especially in multiple locales. While at Apple in 2018, we built a self-supervised system for NED that was deployed in a handful of locales and that improved performance of downstream models significantly. However, due to the fog of production, it was unclear what aspects of these models were most valuable. Motivated by this experience, we built Bootleg, a clean-slate, open-source, self-supervised system to improve tail performance using a simple transformer-based architecture. Bootleg improves tail generalization through a new inverse regularization scheme to favor more generalizable signals automatically. Bootleg-like models are used by several downstream applications. As a result, quality issues fixed in one application may need to be fixed independently in many applications. Thus, we initiate the study of techniques to fix systematic errors in self-supervised models using weak supervision, augmentation, and training set refinement. Bootleg achieves new state-of-the-art performance on the three major NED benchmarks by up to 3.3 F1 points, and it improves performance over BERT baselines on tail slices by 50.1 F1 points.
Bootleg is open source at http://hazyresearch.stanford.edu/bootleg/.
Biography
Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University. He is in the Stanford AI Lab and is affiliated with the Statistical Machine Learning Group. His recent work is to understand how software and hardware systems will change as a result of machine learning along with a continuing, petulant drive to work on math problems. Research from his group has been incorporated into scientific and humanitarian efforts, such as the fight against human trafficking, along with products from technology and enterprise companies. He has cofounded four companies based on his research into machine learning systems,SambaNova and Snorkel, along with two companies that are now part of Apple, Lattice (DeepDive) in 2017 and Inductiv (HoloClean) in 2020.
He received a SIGMOD Dissertation Award in 2010, an NSF CAREER Award in 2011, an Alfred P. Sloan Fellowship in 2013, a Moore Data Driven Investigator Award in 2014, the VLDB early Career Award in 2015, the MacArthur Foundation Fellowship in 2015, and an Okawa Research Grant in 2016. His research contributions have spanned database theory, database systems, and machine learning, and his work has won best paper at a premier venue in each area, respectively, at PODS 2012, SIGMOD 2014, and ICML 2016.
https://wn.com/Bootleg_Guidable_Self_Supervision_For_Named_Entity_Disambiguation_Chris_Re_(Stanford_University)
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguation (NED). A key challenge in NED is generalizing to rarely seen (tail) entities. Traditionally NED uses hand-tuned patterns from a knowledge base to capture rare, but reliable, signals. Hand-built features make it challenging to deploy and maintain NED–especially in multiple locales. While at Apple in 2018, we built a self-supervised system for NED that was deployed in a handful of locales and that improved performance of downstream models significantly. However, due to the fog of production, it was unclear what aspects of these models were most valuable. Motivated by this experience, we built Bootleg, a clean-slate, open-source, self-supervised system to improve tail performance using a simple transformer-based architecture. Bootleg improves tail generalization through a new inverse regularization scheme to favor more generalizable signals automatically. Bootleg-like models are used by several downstream applications. As a result, quality issues fixed in one application may need to be fixed independently in many applications. Thus, we initiate the study of techniques to fix systematic errors in self-supervised models using weak supervision, augmentation, and training set refinement. Bootleg achieves new state-of-the-art performance on the three major NED benchmarks by up to 3.3 F1 points, and it improves performance over BERT baselines on tail slices by 50.1 F1 points.
Bootleg is open source at http://hazyresearch.stanford.edu/bootleg/.
Biography
Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University. He is in the Stanford AI Lab and is affiliated with the Statistical Machine Learning Group. His recent work is to understand how software and hardware systems will change as a result of machine learning along with a continuing, petulant drive to work on math problems. Research from his group has been incorporated into scientific and humanitarian efforts, such as the fight against human trafficking, along with products from technology and enterprise companies. He has cofounded four companies based on his research into machine learning systems,SambaNova and Snorkel, along with two companies that are now part of Apple, Lattice (DeepDive) in 2017 and Inductiv (HoloClean) in 2020.
He received a SIGMOD Dissertation Award in 2010, an NSF CAREER Award in 2011, an Alfred P. Sloan Fellowship in 2013, a Moore Data Driven Investigator Award in 2014, the VLDB early Career Award in 2015, the MacArthur Foundation Fellowship in 2015, and an Okawa Research Grant in 2016. His research contributions have spanned database theory, database systems, and machine learning, and his work has won best paper at a premier venue in each area, respectively, at PODS 2012, SIGMOD 2014, and ICML 2016.
- published: 12 Jan 2023
- views: 135
26:02
Entity Disambiguation
This lecture introduces entity disambiguation - linking entities to an external knowledgebase like Wikipedia
This lecture introduces entity disambiguation - linking entities to an external knowledgebase like Wikipedia
https://wn.com/Entity_Disambiguation
This lecture introduces entity disambiguation - linking entities to an external knowledgebase like Wikipedia
- published: 20 Apr 2023
- views: 463
1:32:06
Roberto Navigli - Generationary & Exemplification Modeling: Going Beyond Word Sense Disambiguation
NLP Talk Series - 2
.
Description and the abstract are down below 👇👇👇👇👇
Hosted By SBU NLP LAB
Checkout new webinars :
http://nlp.sbu.ac.ir/webinars/
Follow a...
NLP Talk Series - 2
.
Description and the abstract are down below 👇👇👇👇👇
Hosted By SBU NLP LAB
Checkout new webinars :
http://nlp.sbu.ac.ir/webinars/
Follow and subscribe to us :
http://nlp.sbu.ac.ir/
http://linkedin.com/company/sbunlplab
https://www.instagram.com/sbunlplab
https://twitter.com/sbunlplab
#sbunlplab
#nlptalkseries
#naturallanguageprocessing
#natural_language_processing
#nlp
.
.
.
Roberto Navigli :
Full professor in the Department of Computer, Control and Management Engineering at the Sapienza University of Rome and the head of the Sapienza NLP Group,
Creator of BabelNet
Title : Generationary and Exemplification Modeling: Going Beyond Word Sense Disambiguation by Generating Definitions and Usage Examples
Abstract :
In this talk, I present two novel approaches, Generationary and Exemplification Modeling, that go beyond the mainstream assumption that word senses can be represented as discrete items of a predefined inventory, and put forward generative models which produce contextualized definitions and usage examples for arbitrary lexical items, from words to phrases. Generationary employs a novel span-based encoding scheme to fine-tune an English pre-trained Encoder-Decoder system and generate new definitions. Generationary outperforms previous approaches in the generative task of Definition Modeling in many settings, but it also matches or surpasses the state of the art in discriminative tasks such as Word Sense Disambiguation and Word-in-Context. Exemplification Modeling takes the opposite perspective: it puts forward a novel task and a seq2seq architecture which generates usage examples given one or more words with their sense definitions. In addition to their considerable degree of freedom in "understanding" lexical meanings, we show that both approaches benefit from training on definitions from multiple inventories, with strong gains across benchmarks.
https://wn.com/Roberto_Navigli_Generationary_Exemplification_Modeling_Going_Beyond_Word_Sense_Disambiguation
NLP Talk Series - 2
.
Description and the abstract are down below 👇👇👇👇👇
Hosted By SBU NLP LAB
Checkout new webinars :
http://nlp.sbu.ac.ir/webinars/
Follow and subscribe to us :
http://nlp.sbu.ac.ir/
http://linkedin.com/company/sbunlplab
https://www.instagram.com/sbunlplab
https://twitter.com/sbunlplab
#sbunlplab
#nlptalkseries
#naturallanguageprocessing
#natural_language_processing
#nlp
.
.
.
Roberto Navigli :
Full professor in the Department of Computer, Control and Management Engineering at the Sapienza University of Rome and the head of the Sapienza NLP Group,
Creator of BabelNet
Title : Generationary and Exemplification Modeling: Going Beyond Word Sense Disambiguation by Generating Definitions and Usage Examples
Abstract :
In this talk, I present two novel approaches, Generationary and Exemplification Modeling, that go beyond the mainstream assumption that word senses can be represented as discrete items of a predefined inventory, and put forward generative models which produce contextualized definitions and usage examples for arbitrary lexical items, from words to phrases. Generationary employs a novel span-based encoding scheme to fine-tune an English pre-trained Encoder-Decoder system and generate new definitions. Generationary outperforms previous approaches in the generative task of Definition Modeling in many settings, but it also matches or surpasses the state of the art in discriminative tasks such as Word Sense Disambiguation and Word-in-Context. Exemplification Modeling takes the opposite perspective: it puts forward a novel task and a seq2seq architecture which generates usage examples given one or more words with their sense definitions. In addition to their considerable degree of freedom in "understanding" lexical meanings, we show that both approaches benefit from training on definitions from multiple inventories, with strong gains across benchmarks.
- published: 29 Jun 2021
- views: 164
11:39
🖋 Word Sense Disambiguation in Colab using KerasNLP.
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/word...
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/wordnet_onto
📝 Research paper: https://www.mdpi.com/2076-3417/14/13/5550
https://wn.com/🖋_Word_Sense_Disambiguation_In_Colab_Using_Kerasnlp.
💻 Colab : https://colab.research.google.com/drive/18f_zHHAsLw5wTvwIsqbbCt0vHUo3eXkh#scrollTo=ucdAmePvir2e
🛠️ Project GitHub : https://github.com/aalgirdas/wordnet_onto
📝 Research paper: https://www.mdpi.com/2076-3417/14/13/5550
- published: 13 May 2024
- views: 117
24:46
KGC 2022: KG-Based Approach to Named Entity Disambiguation for Healthcare Applications — GraphAware
Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the heal...
Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the healthcare domain and combine multiple knowledge graphs and ontologies in a single valuable source of truth.
The approach incorporates node embeddings into the NED model, employing the KG structure for the training process.
The tool can support different healthcare applications, including literature search and retrieval, clinical decision-making, relational knowledge findings, chatbots for health assistance, and recommendation tools for patients and medical practitioners.
Giuseppe Futia holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the automatic building of Knowledge Graphs.
The 5 key takeaways:
1. The components and requirements of the Intelligent Advisory Systems (IAS).
2. How they use Hume, the Neo4j-backed no-code knowledge graph ecosystem.
3. Delving into diabetes real-life use cases and linking to the Unified Medical Language System.
4. How GraphAware utilizes ontology-based enrichment for their knowledge graph-based approach.
5. The cooperation of NED candidates selections and NED candidates ranking.
#biotechnology #lifescience #technology
https://wn.com/Kgc_2022_Kg_Based_Approach_To_Named_Entity_Disambiguation_For_Healthcare_Applications_—_Graphaware
Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the healthcare domain and combine multiple knowledge graphs and ontologies in a single valuable source of truth.
The approach incorporates node embeddings into the NED model, employing the KG structure for the training process.
The tool can support different healthcare applications, including literature search and retrieval, clinical decision-making, relational knowledge findings, chatbots for health assistance, and recommendation tools for patients and medical practitioners.
Giuseppe Futia holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the automatic building of Knowledge Graphs.
The 5 key takeaways:
1. The components and requirements of the Intelligent Advisory Systems (IAS).
2. How they use Hume, the Neo4j-backed no-code knowledge graph ecosystem.
3. Delving into diabetes real-life use cases and linking to the Unified Medical Language System.
4. How GraphAware utilizes ontology-based enrichment for their knowledge graph-based approach.
5. The cooperation of NED candidates selections and NED candidates ranking.
#biotechnology #lifescience #technology
- published: 03 Nov 2022
- views: 389