-
Relient K | Be My Escape (Official Audio Stream)
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
published: 23 Mar 2016
-
Relient K | Who I Am Hates Who I've Been (Official Audio Stream)
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
published: 23 Mar 2016
-
Relient K, Be my Escape
"Be MY Escape" Relient K
album: MMHMM
published: 06 Jun 2006
-
Relient K - MMHMM (Full Album Audio)
Download at iTunes: http://bit.ly/1ySW1nf
Download at Amazon MP3: http://amzn.to/1B8a6n9
Listen on Spotify: http://spoti.fi/1AknUeA
@ 2004 Gotee Records
published: 13 Feb 2015
-
Relient K - Who I Am Hates Who I've Been (Official Music Video HD)
Band: Relient K (featuring John Warne)
Song: Who I Am Hates Who I've Been
Album: Mmhmm (2004)
Origin: Canton, Ohio, United States
Genres: Alternative rock, Christian rock, pop punk, punk rock, post-hardcore
Years active: 1998 - present
Labels: Gotee, Capital Records, Mono Vs. Stereo, Jive
Associated acts: Ace Troubleshooter, Guerilla Rodeo
Website: http://relientk.com/
Current members
Matt Thiessen -- lead vocals, guitar, piano (1998 - )
Matt Hoopes -- guitar, backing vocals (1998 - )
John Warne -- bass, backing vocals (2004 - )
Jon Schneck -- guitar, banjo, bells, backing vocals (2005 - )
Ethan Luck -- drums, backing vocals (2008 - )
Relient K is an American Christian rock band formed in 1998 in Canton, Ohio by Matt Thiessen, Brian Pittman, and Matt Hoopes during...
published: 27 Jul 2010
-
Relient K - Pressing On
Relient K - Pressing On
EMI CMG
(P) (C) 2001 Gotee Records. All rights reserved. Unauthorized reproduction is a violation of applicable laws.
iTunes: http://apple.co/18GgciY
Amazon: http://amzn.to/1vUSPw3
Spotify: http://spoti.fi/1GUXa6m
published: 18 Sep 2007
-
Relient K | I So Hate Consequences (Official Audio Stream)
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
published: 23 Mar 2016
-
Relient K | College Kids (Official Audio Stream)
Relient K’s "Two Lefts Don't Make a Right...But Three Do" - available now.
Buy or Stream the album: https://rk.lnk.to/tldmar
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
published: 04 Mar 2016
-
Sadie Hawkins Dance
Provided to YouTube by The Orchard Enterprises
Sadie Hawkins Dance · Relient K · Unknown
The Anatomy of the Tongue in Cheek
℗ 2012 Gotee Records
Released on: 2001-08-28
Music Publisher: Universal Music - Brentwood Benson Songs
Auto-generated by YouTube.
published: 30 Sep 2020
4:01
Relient K | Be My Escape (Official Audio Stream)
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect wi...
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
https://wn.com/Relient_K_|_Be_My_Escape_(Official_Audio_Stream)
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
- published: 23 Mar 2016
- views: 2498913
3:53
Relient K | Who I Am Hates Who I've Been (Official Audio Stream)
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect wi...
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
https://wn.com/Relient_K_|_Who_I_Am_Hates_Who_I've_Been_(Official_Audio_Stream)
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
- published: 23 Mar 2016
- views: 1622616
3:15
Relient K, Be my Escape
"Be MY Escape" Relient K
album: MMHMM
"Be MY Escape" Relient K
album: MMHMM
https://wn.com/Relient_K,_Be_My_Escape
"Be MY Escape" Relient K
album: MMHMM
- published: 06 Jun 2006
- views: 8627085
50:28
Relient K - MMHMM (Full Album Audio)
Download at iTunes: http://bit.ly/1ySW1nf
Download at Amazon MP3: http://amzn.to/1B8a6n9
Listen on Spotify: http://spoti.fi/1AknUeA
@ 2004 Gotee Records
Download at iTunes: http://bit.ly/1ySW1nf
Download at Amazon MP3: http://amzn.to/1B8a6n9
Listen on Spotify: http://spoti.fi/1AknUeA
@ 2004 Gotee Records
https://wn.com/Relient_K_Mmhmm_(Full_Album_Audio)
Download at iTunes: http://bit.ly/1ySW1nf
Download at Amazon MP3: http://amzn.to/1B8a6n9
Listen on Spotify: http://spoti.fi/1AknUeA
@ 2004 Gotee Records
- published: 13 Feb 2015
- views: 136470
3:59
Relient K - Who I Am Hates Who I've Been (Official Music Video HD)
Band: Relient K (featuring John Warne)
Song: Who I Am Hates Who I've Been
Album: Mmhmm (2004)
Origin: Canton, Ohio, United States
Genres: Alternative rock...
Band: Relient K (featuring John Warne)
Song: Who I Am Hates Who I've Been
Album: Mmhmm (2004)
Origin: Canton, Ohio, United States
Genres: Alternative rock, Christian rock, pop punk, punk rock, post-hardcore
Years active: 1998 - present
Labels: Gotee, Capital Records, Mono Vs. Stereo, Jive
Associated acts: Ace Troubleshooter, Guerilla Rodeo
Website: http://relientk.com/
Current members
Matt Thiessen -- lead vocals, guitar, piano (1998 - )
Matt Hoopes -- guitar, backing vocals (1998 - )
John Warne -- bass, backing vocals (2004 - )
Jon Schneck -- guitar, banjo, bells, backing vocals (2005 - )
Ethan Luck -- drums, backing vocals (2008 - )
Relient K is an American Christian rock band formed in 1998 in Canton, Ohio by Matt Thiessen, Brian Pittman, and Matt Hoopes during the band's junior year in high school and their time at Malone College. The band is named after guitarist Hoopes' automobile, a Plymouth Reliant K car, with the spelling intentionally altered to avoid trademark infringement over the Reliant name.
The group is associated with the Contemporary Christian Music culture, most notably the Christian rock and Christian punk scene. Despite being a Christian band the group has performed alongside secular artists. The band has reached critical success with mainstream pop punk and alternative rock. The band's sound incorporates piano and acoustic elements; and the lyrical content often refers to God, Jesus, and the terms "You" and "Him" are used in reference to God. Since its formation, Relient K has released six studio albums, seven EPs, two Christmas albums, and one collection of rarities. The band has received numerous awards including a Grammy Award nomination in 2003 for Best Rock Gospel Album and two Dove Awards.
Relient K is best known commercially for their two studio albums which peaked in the top 15 of the US Billboard 200 chart. After signing with Capitol Records, they broke into the mainstream in 2004 with the release of Mmhmm, which debuted at #15 on the Billboard 200. In 2007, their fifth album brought the most success for Relient K, Five Score and Seven Years Ago debuted at #6 on the US Billboard 200 and sold 60,000 records in its debut week. The band has sold over 2 million records, with three albums being given gold certification by the RIAA. The band is also highly successful throughout the Christian Albums and Contemporary Christian Music charts. Their newest album Forget and Not Slow Down was released on October 6, 2009.
Mmhmm Album
Mmhmm (also MMHMM, MmHmm, and mmhmm) is the fourth full-length album by Christian rock band Relient K, released in November 2004. This album is especially notable for two reasons: First, it marked their debut on Capitol; and second, it was Brian Pittman's last CD with the band. In addition to being released on Capitol and Gotee, Mmhmm was re-released on vinyl on Mono Vs Stereo. The re-release includes a song originally from Apathetic EP, called "Apathetic Way to Be". The singles "Be My Escape" and "Who I Am Hates Who I've Been", both found on Mmhmm, boosted Relient K's mainstream popularity. Although the song "High of 75" was never released to mainstream markets, it spent fifteen consecutive weeks in the CCM top ten.[citation needed]
Mmhmm earned the group a Canadian Juno Award nomination for Contemporary Christian/Gospel Album of the Year in 2006. In 2005, Mmhmm was certified Gold by the RIAA for sales in excess of 500,000 units in the United States. It has sold over 800,000 copies in the United States
Luckymann's Music Punk cristiano en inglés
High Definition (HD) 720p & High Quality (HQ)
https://wn.com/Relient_K_Who_I_Am_Hates_Who_I've_Been_(Official_Music_Video_Hd)
Band: Relient K (featuring John Warne)
Song: Who I Am Hates Who I've Been
Album: Mmhmm (2004)
Origin: Canton, Ohio, United States
Genres: Alternative rock, Christian rock, pop punk, punk rock, post-hardcore
Years active: 1998 - present
Labels: Gotee, Capital Records, Mono Vs. Stereo, Jive
Associated acts: Ace Troubleshooter, Guerilla Rodeo
Website: http://relientk.com/
Current members
Matt Thiessen -- lead vocals, guitar, piano (1998 - )
Matt Hoopes -- guitar, backing vocals (1998 - )
John Warne -- bass, backing vocals (2004 - )
Jon Schneck -- guitar, banjo, bells, backing vocals (2005 - )
Ethan Luck -- drums, backing vocals (2008 - )
Relient K is an American Christian rock band formed in 1998 in Canton, Ohio by Matt Thiessen, Brian Pittman, and Matt Hoopes during the band's junior year in high school and their time at Malone College. The band is named after guitarist Hoopes' automobile, a Plymouth Reliant K car, with the spelling intentionally altered to avoid trademark infringement over the Reliant name.
The group is associated with the Contemporary Christian Music culture, most notably the Christian rock and Christian punk scene. Despite being a Christian band the group has performed alongside secular artists. The band has reached critical success with mainstream pop punk and alternative rock. The band's sound incorporates piano and acoustic elements; and the lyrical content often refers to God, Jesus, and the terms "You" and "Him" are used in reference to God. Since its formation, Relient K has released six studio albums, seven EPs, two Christmas albums, and one collection of rarities. The band has received numerous awards including a Grammy Award nomination in 2003 for Best Rock Gospel Album and two Dove Awards.
Relient K is best known commercially for their two studio albums which peaked in the top 15 of the US Billboard 200 chart. After signing with Capitol Records, they broke into the mainstream in 2004 with the release of Mmhmm, which debuted at #15 on the Billboard 200. In 2007, their fifth album brought the most success for Relient K, Five Score and Seven Years Ago debuted at #6 on the US Billboard 200 and sold 60,000 records in its debut week. The band has sold over 2 million records, with three albums being given gold certification by the RIAA. The band is also highly successful throughout the Christian Albums and Contemporary Christian Music charts. Their newest album Forget and Not Slow Down was released on October 6, 2009.
Mmhmm Album
Mmhmm (also MMHMM, MmHmm, and mmhmm) is the fourth full-length album by Christian rock band Relient K, released in November 2004. This album is especially notable for two reasons: First, it marked their debut on Capitol; and second, it was Brian Pittman's last CD with the band. In addition to being released on Capitol and Gotee, Mmhmm was re-released on vinyl on Mono Vs Stereo. The re-release includes a song originally from Apathetic EP, called "Apathetic Way to Be". The singles "Be My Escape" and "Who I Am Hates Who I've Been", both found on Mmhmm, boosted Relient K's mainstream popularity. Although the song "High of 75" was never released to mainstream markets, it spent fifteen consecutive weeks in the CCM top ten.[citation needed]
Mmhmm earned the group a Canadian Juno Award nomination for Contemporary Christian/Gospel Album of the Year in 2006. In 2005, Mmhmm was certified Gold by the RIAA for sales in excess of 500,000 units in the United States. It has sold over 800,000 copies in the United States
Luckymann's Music Punk cristiano en inglés
High Definition (HD) 720p & High Quality (HQ)
- published: 27 Jul 2010
- views: 270675
4:00
Relient K - Pressing On
Relient K - Pressing On
EMI CMG
(P) (C) 2001 Gotee Records. All rights reserved. Unauthorized reproduction is a violation of applicable laws.
iTunes: http://ap...
Relient K - Pressing On
EMI CMG
(P) (C) 2001 Gotee Records. All rights reserved. Unauthorized reproduction is a violation of applicable laws.
iTunes: http://apple.co/18GgciY
Amazon: http://amzn.to/1vUSPw3
Spotify: http://spoti.fi/1GUXa6m
https://wn.com/Relient_K_Pressing_On
Relient K - Pressing On
EMI CMG
(P) (C) 2001 Gotee Records. All rights reserved. Unauthorized reproduction is a violation of applicable laws.
iTunes: http://apple.co/18GgciY
Amazon: http://amzn.to/1vUSPw3
Spotify: http://spoti.fi/1GUXa6m
- published: 18 Sep 2007
- views: 868590
4:02
Relient K | I So Hate Consequences (Official Audio Stream)
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect wi...
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
https://wn.com/Relient_K_|_I_So_Hate_Consequences_(Official_Audio_Stream)
Relient K’s “MMHMM” - available now.
Buy or Stream the album: https://rk.lnk.to/mmhmm
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
- published: 23 Mar 2016
- views: 277400
3:28
Relient K | College Kids (Official Audio Stream)
Relient K’s "Two Lefts Don't Make a Right...But Three Do" - available now.
Buy or Stream the album: https://rk.lnk.to/tldmar
Visit Relient K’s website: http://...
Relient K’s "Two Lefts Don't Make a Right...But Three Do" - available now.
Buy or Stream the album: https://rk.lnk.to/tldmar
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
https://wn.com/Relient_K_|_College_Kids_(Official_Audio_Stream)
Relient K’s "Two Lefts Don't Make a Right...But Three Do" - available now.
Buy or Stream the album: https://rk.lnk.to/tldmar
Visit Relient K’s website: http://smarturl.it/relientKwebsite
Connect with Relient K:
Facebook: http://smarturl.it/relientKfb
Instagram: http://smarturl.it/relientKinsta
Twitter: http://smarturl.it/relientKtwitter
- published: 04 Mar 2016
- views: 367387
2:58
Sadie Hawkins Dance
Provided to YouTube by The Orchard Enterprises
Sadie Hawkins Dance · Relient K · Unknown
The Anatomy of the Tongue in Cheek
℗ 2012 Gotee Records
Released on...
Provided to YouTube by The Orchard Enterprises
Sadie Hawkins Dance · Relient K · Unknown
The Anatomy of the Tongue in Cheek
℗ 2012 Gotee Records
Released on: 2001-08-28
Music Publisher: Universal Music - Brentwood Benson Songs
Auto-generated by YouTube.
https://wn.com/Sadie_Hawkins_Dance
Provided to YouTube by The Orchard Enterprises
Sadie Hawkins Dance · Relient K · Unknown
The Anatomy of the Tongue in Cheek
℗ 2012 Gotee Records
Released on: 2001-08-28
Music Publisher: Universal Music - Brentwood Benson Songs
Auto-generated by YouTube.
- published: 30 Sep 2020
- views: 613077
-
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
-
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as a...
published: 07 Jan 2021
-
NWDS Talk - Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
Presented by Laurel Orr
See more Northwest Database Society talks here:
http://db.cs.washington.edu/nwds/nwds.html
Abstract:
Named Entity Disambiguation (NED) is the task of mapping textual mentions to entities in a database. A key challenge in NED is generalizing to rarely seen entities, termed tail entities. Traditional NED systems use hand-tuned features to improve tail generalization, but these features make the system challenging to deploy and maintain. In 2018, a subset of the authors built and deployed a self-supervised NED system at a major technology company, which improved performance over its hand-tuned predecessor. Motivated to understand the core reasons for this improvement, we introduce Bootleg, a clean-slate, open-source, self-supervised NED system. In this talk, w...
published: 12 Feb 2021
-
Magnus, Hikaru Double Bongcloud
➡️ Get My Chess Courses: https://www.chessly.com/
➡️ Get my best-selling chess book: https://geni.us/gothamchess
➡️ My book in the UK and Europe: https://bit.ly/3qFqSf7
➡️ Mein Buch auf Deutsch: https://bit.ly/45fKt3R
➡️ Mi libro en Español: https://bit.ly/3Y5xaRx
➡️ Start Playing Chess FOR FREE: http://bit.ly/3Xa3EsB
➡️ Enjoy my videos? Donate Here : https://www.paypal.me/gothamchess
Email me your games: [email protected]
Sponsors, Business, Media: [email protected] - [DO NOT SEND GAMES HERE]
⭐️ Follow Me If You Are Amazing:
➡️ CAMEO: https://www.cameo.com/gothamchess
➡️ SNAP: https://www.snapchat.com/add/levy.rozman
➡️ INSTAGRAM: https://www.instagram.com/gothamchess/
➡️ TWITCH: https://www.twitch.tv/gothamchess
➡️ TIKTOK: https://www.tiktok.com/@levyrozman
➡️ TWITTER: https:/...
published: 24 Jun 2023
-
Chatbot Disambiguation Demonstration
Your Chatbot Must Be Able To Disambiguate. Disambiguation Is Part & Parcel Of Human Conversations And Should Be Part Of Your Chatbot Experience.
IBM Watson has a built-in feature which allows for the configuration of disambiguation. In this practical example you can toggle the feature on or off.
Apart from this you can set the message explaining the clarification, the default is, "Did you mean"…this could be changed to "This might help" or, "This is what I could find".
An option is also available for none of the above and the maximum number of suggestions can be limited. The scope and size of the dialog will determine what this number might be.
This also provides a central point where disambiguation can be switched off; this of this as a global toggle switch to enable or disable thi...
published: 11 Feb 2020
-
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
-
Disambiguation of Data Mesh, Fabric, Centric, Driven, and Everything!
Dan DeMers, CEO and Co-Founder of Cinchy, and Dave McComb, President of Semantic Arts and Best-Selling Author to break down the ambiguity of six data systems and products you’ve likely heard of but want to understand the difference
published: 19 Mar 2021
-
Wikipedia - Disambiguation Case Study
Disambiguation in Wikipedia is the process of resolving conflicts that arise when a potential article title is ambiguous, most often because it refers to more than one subject covered by Wikipedia, either as the main topic of an article, or as a subtopic covered by an article in addition to the article's main topic.
Udemy Course
published: 19 Jul 2024
-
Disambiguation Of Ambiguous Terms.
Ambiguity is tough for computers. It can be tough for humans to disambiguate ambiguous terms, but we tend to be pretty good at it. To be great at it you need context. That is what Stremor's Liquid helium does. It figures out the context of words and disambiguates them.
published: 05 Apr 2013
-
ApplyAI Hands-on in NLP: Word Disambiguation and Automatic Summarization
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
published: 09 May 2020
-
One (disambiguation)
One or 1 is the first natural number.
1, one, or ONE may also refer to:
AD 1, first year of the AD era
1 BC, the year before AD 1
One (pronoun), a pronoun in the English language
Hydrogen, with an atomic number of 1
The month of January, the first month of the year in the Julian and Gregorian calendars
Source: https://en.wikipedia.org/wiki/One_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
published: 14 Aug 2021
-
[OOPSLA23] Rapid: Region-Based Pointer Disambiguation
Rapid: Region-Based Pointer Disambiguation (Video, OOPSLA2 2023)
Khushboo Chitre, Piyus Kedia, and Rahul Purandare
(IIIT Delhi, India; IIIT Delhi, India; University of Nebraska-Lincoln, USA)
Abstract: Interprocedural alias analyses often sacrifice precision for scalability. Thus, modern compilers such as GCC and LLVM implement more scalable but less precise intraprocedural alias analyses. This compromise makes the compilers miss out on potential optimization opportunities, affecting the performance of the application. Modern compilers implement loop-versioning with dynamic checks for pointer disambiguation to enable the missed optimizations. Polyhedral access range analysis and symbolic range analysis enable 𝑂 (1) range checks for non-overlapping of memory accesses inside loops. However, ...
published: 14 Feb 2024
-
SCP 4052 - Sandwich (disambiguation)
National Hot Dog and Sausage President Janet Riley stated "hot dog formerly known as a sandwich".
Become a member for perks: https://www.youtube.com/channel/UClSnxW7XP8YqBo2l3vHuTaw/join
Join the Discord: https://discord.gg/bdheuXXEJP
Support me on Ko-Fi: https://ko-fi.com/bedtimescp
"SCP-4052" by Deadly Bread, from the SCP Wiki. Source: https://scpwiki.com/scp-4052. Licensed under CC-BY-SA.
Content relating to the SCP Foundation, including the SCP Foundation logo, is licensed under Creative Commons Sharealike 3.0 and all concepts originate from https://scpwiki.com/ and its authors. This video, being derived from this content, is hereby also released under Creative Commons Sharealike 3.0.
Chapters:
00:00: Special Containment Procedures
01:03: Description
03:01: Addendum
08:44: Level 4...
published: 09 Aug 2024
-
Intro to PowerApps Variables & @Disambiguation operator!
In this video we are going to learn about PowerApps variables & disambiguation operator. Happy learning & cya!
Website: https://powercubicleguy.com
published: 04 May 2020
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
29:09
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021...
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
https://wn.com/Disambiguation_–_Linking_Data_Science_And_Engineering_|_Nlp_Summit_2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
- published: 07 Jan 2021
- views: 539
1:02:06
NWDS Talk - Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
Presented by Laurel Orr
See more Northwest Database Society talks here:
http://db.cs.washington.edu/nwds/nwds.html
Abstract:
Named Entity Disambiguatio...
Presented by Laurel Orr
See more Northwest Database Society talks here:
http://db.cs.washington.edu/nwds/nwds.html
Abstract:
Named Entity Disambiguation (NED) is the task of mapping textual mentions to entities in a database. A key challenge in NED is generalizing to rarely seen entities, termed tail entities. Traditional NED systems use hand-tuned features to improve tail generalization, but these features make the system challenging to deploy and maintain. In 2018, a subset of the authors built and deployed a self-supervised NED system at a major technology company, which improved performance over its hand-tuned predecessor. Motivated to understand the core reasons for this improvement, we introduce Bootleg, a clean-slate, open-source, self-supervised NED system. In this talk, we'll show how to succeed on the tail by reasoning over structured data. We demonstrate that Bootleg matches or exceeds state-of-the-art performance on three NED benchmarks and that the learned representations from Bootleg demonstrate up to 8% performance lift in a production task. Finally, we observe that embeddings from self-supervised models like Bootleg are increasingly being served to downstream applications, creating an embedding ecosystem. We initiate the study of the data management challenges associated with this ecosystem.
https://wn.com/Nwds_Talk_Bootleg_Chasing_The_Tail_With_Self_Supervised_Named_Entity_Disambiguation
Presented by Laurel Orr
See more Northwest Database Society talks here:
http://db.cs.washington.edu/nwds/nwds.html
Abstract:
Named Entity Disambiguation (NED) is the task of mapping textual mentions to entities in a database. A key challenge in NED is generalizing to rarely seen entities, termed tail entities. Traditional NED systems use hand-tuned features to improve tail generalization, but these features make the system challenging to deploy and maintain. In 2018, a subset of the authors built and deployed a self-supervised NED system at a major technology company, which improved performance over its hand-tuned predecessor. Motivated to understand the core reasons for this improvement, we introduce Bootleg, a clean-slate, open-source, self-supervised NED system. In this talk, we'll show how to succeed on the tail by reasoning over structured data. We demonstrate that Bootleg matches or exceeds state-of-the-art performance on three NED benchmarks and that the learned representations from Bootleg demonstrate up to 8% performance lift in a production task. Finally, we observe that embeddings from self-supervised models like Bootleg are increasingly being served to downstream applications, creating an embedding ecosystem. We initiate the study of the data management challenges associated with this ecosystem.
- published: 12 Feb 2021
- views: 121
0:34
Magnus, Hikaru Double Bongcloud
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➡️ Get My Chess Courses: https://www.chessly.com/
➡️ Get my best-selling chess book: https://geni.us/gothamchess
➡️ My book in the UK and Europe: https://bit.ly/3qFqSf7
➡️ Mein Buch auf Deutsch: https://bit.ly/45fKt3R
➡️ Mi libro en Español: https://bit.ly/3Y5xaRx
➡️ Start Playing Chess FOR FREE: http://bit.ly/3Xa3EsB
➡️ Enjoy my videos? Donate Here : https://www.paypal.me/gothamchess
Email me your games:
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Sponsors, Business, Media:
[email protected] - [DO NOT SEND GAMES HERE]
⭐️ Follow Me If You Are Amazing:
➡️ CAMEO: https://www.cameo.com/gothamchess
➡️ SNAP: https://www.snapchat.com/add/levy.rozman
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➡️ TWITTER: https://twitter.com/gothamchess
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➡️ THUMBNAILS BY: https://www.instagram.com/jchessnoob/
- published: 24 Jun 2023
- views: 5702746
5:19
Chatbot Disambiguation Demonstration
Your Chatbot Must Be Able To Disambiguate. Disambiguation Is Part & Parcel Of Human Conversations And Should Be Part Of Your Chatbot Experience.
IBM Watson ha...
Your Chatbot Must Be Able To Disambiguate. Disambiguation Is Part & Parcel Of Human Conversations And Should Be Part Of Your Chatbot Experience.
IBM Watson has a built-in feature which allows for the configuration of disambiguation. In this practical example you can toggle the feature on or off.
Apart from this you can set the message explaining the clarification, the default is, "Did you mean"…this could be changed to "This might help" or, "This is what I could find".
An option is also available for none of the above and the maximum number of suggestions can be limited. The scope and size of the dialog will determine what this number might be.
This also provides a central point where disambiguation can be switched off; this of this as a global toggle switch to enable or disable this feature.
Apart from this, each node can be added or removed individually as the structure of the application changes.
Here the name of the node becomes important as this is what will be displayed to the user.
Hence it is crucial that the name of the node is clear, presentable and
explains the function and intention of the node it names.
Here is a short tutorial on the functionality and setup.
https://wn.com/Chatbot_Disambiguation_Demonstration
Your Chatbot Must Be Able To Disambiguate. Disambiguation Is Part & Parcel Of Human Conversations And Should Be Part Of Your Chatbot Experience.
IBM Watson has a built-in feature which allows for the configuration of disambiguation. In this practical example you can toggle the feature on or off.
Apart from this you can set the message explaining the clarification, the default is, "Did you mean"…this could be changed to "This might help" or, "This is what I could find".
An option is also available for none of the above and the maximum number of suggestions can be limited. The scope and size of the dialog will determine what this number might be.
This also provides a central point where disambiguation can be switched off; this of this as a global toggle switch to enable or disable this feature.
Apart from this, each node can be added or removed individually as the structure of the application changes.
Here the name of the node becomes important as this is what will be displayed to the user.
Hence it is crucial that the name of the node is clear, presentable and
explains the function and intention of the node it names.
Here is a short tutorial on the functionality and setup.
- published: 11 Feb 2020
- views: 906
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
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⏩ 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 :)
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#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
1:01:29
Disambiguation of Data Mesh, Fabric, Centric, Driven, and Everything!
Dan DeMers, CEO and Co-Founder of Cinchy, and Dave McComb, President of Semantic Arts and Best-Selling Author to break down the ambiguity of six data systems an...
Dan DeMers, CEO and Co-Founder of Cinchy, and Dave McComb, President of Semantic Arts and Best-Selling Author to break down the ambiguity of six data systems and products you’ve likely heard of but want to understand the difference
https://wn.com/Disambiguation_Of_Data_Mesh,_Fabric,_Centric,_Driven,_And_Everything
Dan DeMers, CEO and Co-Founder of Cinchy, and Dave McComb, President of Semantic Arts and Best-Selling Author to break down the ambiguity of six data systems and products you’ve likely heard of but want to understand the difference
- published: 19 Mar 2021
- views: 1130
2:12
Wikipedia - Disambiguation Case Study
Disambiguation in Wikipedia is the process of resolving conflicts that arise when a potential article title is ambiguous, most often because it refers to more t...
Disambiguation in Wikipedia is the process of resolving conflicts that arise when a potential article title is ambiguous, most often because it refers to more than one subject covered by Wikipedia, either as the main topic of an article, or as a subtopic covered by an article in addition to the article's main topic.
Udemy Course
https://wn.com/Wikipedia_Disambiguation_Case_Study
Disambiguation in Wikipedia is the process of resolving conflicts that arise when a potential article title is ambiguous, most often because it refers to more than one subject covered by Wikipedia, either as the main topic of an article, or as a subtopic covered by an article in addition to the article's main topic.
Udemy Course
- published: 19 Jul 2024
- views: 24
2:43
Disambiguation Of Ambiguous Terms.
Ambiguity is tough for computers. It can be tough for humans to disambiguate ambiguous terms, but we tend to be pretty good at it. To be great at it you need co...
Ambiguity is tough for computers. It can be tough for humans to disambiguate ambiguous terms, but we tend to be pretty good at it. To be great at it you need context. That is what Stremor's Liquid helium does. It figures out the context of words and disambiguates them.
https://wn.com/Disambiguation_Of_Ambiguous_Terms.
Ambiguity is tough for computers. It can be tough for humans to disambiguate ambiguous terms, but we tend to be pretty good at it. To be great at it you need context. That is what Stremor's Liquid helium does. It figures out the context of words and disambiguates them.
- published: 05 Apr 2013
- views: 1056
2:24:42
ApplyAI Hands-on in NLP: Word Disambiguation and Automatic Summarization
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
https://wn.com/Applyai_Hands_On_In_Nlp_Word_Disambiguation_And_Automatic_Summarization
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
- published: 09 May 2020
- views: 1382
15:58
One (disambiguation)
One or 1 is the first natural number.
1, one, or ONE may also refer to:
AD 1, first year of the AD era
1 BC, the year before AD 1
One (pronoun), a pronoun in t...
One or 1 is the first natural number.
1, one, or ONE may also refer to:
AD 1, first year of the AD era
1 BC, the year before AD 1
One (pronoun), a pronoun in the English language
Hydrogen, with an atomic number of 1
The month of January, the first month of the year in the Julian and Gregorian calendars
Source: https://en.wikipedia.org/wiki/One_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
https://wn.com/One_(Disambiguation)
One or 1 is the first natural number.
1, one, or ONE may also refer to:
AD 1, first year of the AD era
1 BC, the year before AD 1
One (pronoun), a pronoun in the English language
Hydrogen, with an atomic number of 1
The month of January, the first month of the year in the Julian and Gregorian calendars
Source: https://en.wikipedia.org/wiki/One_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
- published: 14 Aug 2021
- views: 3
18:14
[OOPSLA23] Rapid: Region-Based Pointer Disambiguation
Rapid: Region-Based Pointer Disambiguation (Video, OOPSLA2 2023)
Khushboo Chitre, Piyus Kedia, and Rahul Purandare
(IIIT Delhi, India; IIIT Delhi, India; Univer...
Rapid: Region-Based Pointer Disambiguation (Video, OOPSLA2 2023)
Khushboo Chitre, Piyus Kedia, and Rahul Purandare
(IIIT Delhi, India; IIIT Delhi, India; University of Nebraska-Lincoln, USA)
Abstract: Interprocedural alias analyses often sacrifice precision for scalability. Thus, modern compilers such as GCC and LLVM implement more scalable but less precise intraprocedural alias analyses. This compromise makes the compilers miss out on potential optimization opportunities, affecting the performance of the application. Modern compilers implement loop-versioning with dynamic checks for pointer disambiguation to enable the missed optimizations. Polyhedral access range analysis and symbolic range analysis enable 𝑂 (1) range checks for non-overlapping of memory accesses inside loops. However, these approaches work only for the loops in which the loop bounds are loop invariants. To address this limitation, researchers proposed a technique that requires 𝑂 (𝑙𝑜𝑔 𝑛) memory accesses for pointer disambiguation. Others improved the performance of dynamic checks to single memory access by constraining the object size and alignment. However, the former approach incurs noticeable overhead due to its dynamic checks, whereas the latter has a noticeable allocator overhead. Thus, scalability remains a challenge.
In this work, we present a tool, Rapid, that further reduces the overheads of the allocator and dynamic checks proposed in the existing approaches. The key idea is to identify objects that need disambiguation checks using a profiler and allocate them in different regions, which are disjoint memory areas. The disambiguation checks simply compare the regions corresponding to the objects. The regions are aligned such that the top 32 bits in the addresses of any two objects allocated in different regions are always different. As a consequence, the dynamic checks do not require any memory access to ensure that the objects belong to different regions, making them efficient.
Rapid achieved a maximum performance benefit of around 52.94% for Polybench and 1.88% for CPU SPEC 2017 benchmarks. The maximum CPU overhead of our allocator is 0.57% with a geometric mean of -0.2% for CPU SPEC 2017 benchmarks. Due to the low overhead of the allocator and dynamic checks, Rapid could improve the performance of 12 out of 16 CPU SPEC 2017 benchmarks. In contrast, a state-of-the-art approach used in the comparison could improve only five CPU SPEC 2017 benchmarks.
Article: https://doi.org/10.1145/3622859
Supplementary archive: https://doi.org/10.5281/zenodo.8321488 (Badges: Artifacts Available, Artifacts Evaluated — Reusable)
ORCID: https://orcid.org/0000-0001-6950-1055, https://orcid.org/0000-0002-9569-4089, https://orcid.org/0000-0001-8677-0601
Video Tags: alias analysis, LLVM, optimizations, regions, dynamic checks, memory allocation, allocation site, oopslab23main-p475-p, doi:10.1145/3622859, doi:10.5281/zenodo.8321488, orcid:0000-0001-6950-1055, orcid:0000-0002-9569-4089, orcid:0000-0001-8677-0601, Artifacts Available, Artifacts Evaluated — Reusable
Presentation at the OOPSLA2 2023 conference, October 22–27, 2023, https://2023.splashcon.org/track/splash-2023-oopsla
Sponsored by ACM SIGPLAN,
https://wn.com/Oopsla23_Rapid_Region_Based_Pointer_Disambiguation
Rapid: Region-Based Pointer Disambiguation (Video, OOPSLA2 2023)
Khushboo Chitre, Piyus Kedia, and Rahul Purandare
(IIIT Delhi, India; IIIT Delhi, India; University of Nebraska-Lincoln, USA)
Abstract: Interprocedural alias analyses often sacrifice precision for scalability. Thus, modern compilers such as GCC and LLVM implement more scalable but less precise intraprocedural alias analyses. This compromise makes the compilers miss out on potential optimization opportunities, affecting the performance of the application. Modern compilers implement loop-versioning with dynamic checks for pointer disambiguation to enable the missed optimizations. Polyhedral access range analysis and symbolic range analysis enable 𝑂 (1) range checks for non-overlapping of memory accesses inside loops. However, these approaches work only for the loops in which the loop bounds are loop invariants. To address this limitation, researchers proposed a technique that requires 𝑂 (𝑙𝑜𝑔 𝑛) memory accesses for pointer disambiguation. Others improved the performance of dynamic checks to single memory access by constraining the object size and alignment. However, the former approach incurs noticeable overhead due to its dynamic checks, whereas the latter has a noticeable allocator overhead. Thus, scalability remains a challenge.
In this work, we present a tool, Rapid, that further reduces the overheads of the allocator and dynamic checks proposed in the existing approaches. The key idea is to identify objects that need disambiguation checks using a profiler and allocate them in different regions, which are disjoint memory areas. The disambiguation checks simply compare the regions corresponding to the objects. The regions are aligned such that the top 32 bits in the addresses of any two objects allocated in different regions are always different. As a consequence, the dynamic checks do not require any memory access to ensure that the objects belong to different regions, making them efficient.
Rapid achieved a maximum performance benefit of around 52.94% for Polybench and 1.88% for CPU SPEC 2017 benchmarks. The maximum CPU overhead of our allocator is 0.57% with a geometric mean of -0.2% for CPU SPEC 2017 benchmarks. Due to the low overhead of the allocator and dynamic checks, Rapid could improve the performance of 12 out of 16 CPU SPEC 2017 benchmarks. In contrast, a state-of-the-art approach used in the comparison could improve only five CPU SPEC 2017 benchmarks.
Article: https://doi.org/10.1145/3622859
Supplementary archive: https://doi.org/10.5281/zenodo.8321488 (Badges: Artifacts Available, Artifacts Evaluated — Reusable)
ORCID: https://orcid.org/0000-0001-6950-1055, https://orcid.org/0000-0002-9569-4089, https://orcid.org/0000-0001-8677-0601
Video Tags: alias analysis, LLVM, optimizations, regions, dynamic checks, memory allocation, allocation site, oopslab23main-p475-p, doi:10.1145/3622859, doi:10.5281/zenodo.8321488, orcid:0000-0001-6950-1055, orcid:0000-0002-9569-4089, orcid:0000-0001-8677-0601, Artifacts Available, Artifacts Evaluated — Reusable
Presentation at the OOPSLA2 2023 conference, October 22–27, 2023, https://2023.splashcon.org/track/splash-2023-oopsla
Sponsored by ACM SIGPLAN,
- published: 14 Feb 2024
- views: 27
20:09
SCP 4052 - Sandwich (disambiguation)
National Hot Dog and Sausage President Janet Riley stated "hot dog formerly known as a sandwich".
Become a member for perks: https://www.youtube.com/channel/U...
National Hot Dog and Sausage President Janet Riley stated "hot dog formerly known as a sandwich".
Become a member for perks: https://www.youtube.com/channel/UClSnxW7XP8YqBo2l3vHuTaw/join
Join the Discord: https://discord.gg/bdheuXXEJP
Support me on Ko-Fi: https://ko-fi.com/bedtimescp
"SCP-4052" by Deadly Bread, from the SCP Wiki. Source: https://scpwiki.com/scp-4052. Licensed under CC-BY-SA.
Content relating to the SCP Foundation, including the SCP Foundation logo, is licensed under Creative Commons Sharealike 3.0 and all concepts originate from https://scpwiki.com/ and its authors. This video, being derived from this content, is hereby also released under Creative Commons Sharealike 3.0.
Chapters:
00:00: Special Containment Procedures
01:03: Description
03:01: Addendum
08:44: Level 4/4052 Security Credentials Required
13:45: Addendum.4052.1
15:44: Addendum.4052.2
#scp #foundation #creativecommons #nosleep #sleep #euclid #archon
https://wn.com/Scp_4052_Sandwich_(Disambiguation)
National Hot Dog and Sausage President Janet Riley stated "hot dog formerly known as a sandwich".
Become a member for perks: https://www.youtube.com/channel/UClSnxW7XP8YqBo2l3vHuTaw/join
Join the Discord: https://discord.gg/bdheuXXEJP
Support me on Ko-Fi: https://ko-fi.com/bedtimescp
"SCP-4052" by Deadly Bread, from the SCP Wiki. Source: https://scpwiki.com/scp-4052. Licensed under CC-BY-SA.
Content relating to the SCP Foundation, including the SCP Foundation logo, is licensed under Creative Commons Sharealike 3.0 and all concepts originate from https://scpwiki.com/ and its authors. This video, being derived from this content, is hereby also released under Creative Commons Sharealike 3.0.
Chapters:
00:00: Special Containment Procedures
01:03: Description
03:01: Addendum
08:44: Level 4/4052 Security Credentials Required
13:45: Addendum.4052.1
15:44: Addendum.4052.2
#scp #foundation #creativecommons #nosleep #sleep #euclid #archon
- published: 09 Aug 2024
- views: 2811
16:09
Intro to PowerApps Variables & @Disambiguation operator!
In this video we are going to learn about PowerApps variables & disambiguation operator. Happy learning & cya!
Website: https://powercubicleguy.com
In this video we are going to learn about PowerApps variables & disambiguation operator. Happy learning & cya!
Website: https://powercubicleguy.com
https://wn.com/Intro_To_Powerapps_Variables_Disambiguation_Operator
In this video we are going to learn about PowerApps variables & disambiguation operator. Happy learning & cya!
Website: https://powercubicleguy.com
- published: 04 May 2020
- views: 2619