Michigan Stadium was built in 1927 at a cost of $950,000 (equivalent to $12.9 million in 2016) and had an original capacity of 72,000. Prior to the stadium's construction, the Wolverines played football at Ferry Field. Every home game since November 8, 1975 has drawn a crowd in excess of 100,000, an active streak of more than 200 contests. On September 7, 2013 the game between Michigan and the Notre Dame Fighting Irish attracted a crowd of 115,109, a record attendance for a college football game since 1927, and an NCAA single-game attendance record, overtaking the 114,804 record set two years previously for the same match up.
Michigan Stadium was designed with footings to allow the stadium's capacity to be expanded beyond 100,000. Fielding Yost envisioned a day where 150,000 seats would be needed. To keep construction costs low at the time, the decision was made to build a smaller stadium than Yost envisioned but to include the footings for future expansion.
Michigan: Report from Hell, released as Michigan in Japan, is a survival horror game developed by Grasshopper Manufacture and published by Spike. It was released in Japan on August 5, 2004, in Europe on September 30, 2005, and in Australia in 2005. This game was never released in North America. Directed by Akira Ueda and planned by Goichi Suda, the game focuses on a news crew for the fictional ZaKa TV, dedicated to covering strange phenomena. The game is unique in the sense that it is played almost entirely though the viewfinder of a camera; and the game is lost if the player runs out of film before solving the mysteries in a mission.
Plot
In Michigan, players take the role of a rookie cameraman for ZaKa TV, the entertainment division of the powerful ZaKa conglomerate. Accompanied by Brisco, an outspoken sound engineer, and Pamela, a reporter, the player is sent to investigate a mysterious mist that has descended over the city. The player quickly discovers that the mist is somehow transforming people into fleshy, leech-like monsters with human limbs. Pamela is attacked by the creatures, and is later found in the process of transforming into one. The player, Brisco, and a new female reporter are sent to investigate the source of the monster outbreak.
Michigan wine refers to any wine that is made in the U.S. state of Michigan. As of 2013, there were 2,650 acres (1,070ha) under wine-grape cultivation and 101 commercial wineries in Michigan, producing 1.3million US gallons (4,900,000L) of wine. According to another count there were 112 operating wineries in Michigan in 2007.
In addition to grape wine, Michigan is a leader in the production of fruit wines such as cherry wine.
History
The traditional wines of Michigan were sweet wines, often made from grape varieties native to North America, such as the Catawba, Concord, and Niagara, or from hybrid grapes partly developed by crossing native species with vinifera grapes. North American native grapes have the advantage of being adapted to local growing conditions, with consequent high fruit yield. In addition, growers can switch back and forth between the production of sweet wine and grape juice. Of Michigan's 14,600 acres (5,900ha) under grape cultivation, only 12%, 1,800 acres (730ha), were devoted to wine grapes as of 2007.
Grimbeard - Michigan: Report From Hell (PS2) - Review
ZaKaTV gets the scoop of a lifetime and I get my bush all sorted.
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00:00 - Intro
01:51 - ...
published: 25 Dec 2023
WORST Voice Acting in a Video Game - Michigan: Report from Heck 1
The Game Grumps tackle news reporting in "Michigan," a game in which you can film the world around you and literally nothing else.
BREAK: 14:14 - This is going great!
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published: 26 Nov 2019
Michigan Report From Hell 👻 4K/60fps 👻 PS2 Horror Game Longplay Walkthrough Gameplay No Commentary
▬▬▬▬ You have entered the home of Horror Gaming ▬▬▬▬▬
▬▬▬▬▬▬▬▬ 👻Survival Horror Network 👻 ▬▬▬▬▬▬▬▬
SHN Rating for : Michigan Report From Hell 👻👻👻👻 out of 👻👻👻👻👻
👻 Follow SHN on Twitter : https://twitter.com/shnhorror
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👻 Share Subscribe and Like the Content it helps us and motivates us to create more
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👻 HORROR GENRE WILL NEVER DIE!
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published: 24 May 2022
Michigan Report from Hell | Full Game Walkthrough | No Commentary
It's time for another horror game and today we archive one that is also arguably one of the strangest games ever made. It released back on the Playstation 2 in Japan and Europe, but never had an American release.
The game has a very original concept in that you play as a cameraman for a television broadcast and you and the team of reporter and sound operator will do reporting in Michigan amidst an invasion of terrible monsters.
Rather than an action game it plays like an adventure game where you have to find certain key items in the enviroment in order to solve puzzles and progress the story. Rather than picking up the items yourself, you point them out to the reporter and she will pick it up to be used later. The same goes for combat as you point out the enemies and the reporter shoots. ...
published: 02 Jan 2024
MICHIGAN: REPORT FROM HELL
YOTOBI TWITCH: https://www.twitch.tv/yotobi
Lun - Mer - Ven dalle 14 alle 16
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Vuoi fare una donazione per supportare il canale o semplicemente per offrirmi un caffè?
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Brani:
- The Last of Us Take on Me Epic Trailer Version Soundtrack
- Mozart - Lacrimosa EPIC VERSION by /krutikovmusic
- Bill and Frank OST (ft. Main Theme) The Last of Us HBO Episode 3
- ES_Traps Everywhere - Experia
- ES_Seek and Destroy - Deskant
- ES_Drum Circle - Sage Oursler
published: 06 Jul 2023
Suda 51's horror "masterpiece" - Michigan: Report From Hell (ft. Liam)
➤ BECOME A VIP MEMBER: (and see AD-FREE, early videos): https://www.patreon.com/mattmcmuscles
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Intro By: https://twitter.com/LeeMounseySmith
Skelematt art by: https://twitter.com/DonWoka
#spookygames #horrorgames #mattmcmuscles
published: 25 Oct 2023
Report from Hell
WARNING : This video is over 400 haunted !
featuring playthroughs by
https://www.youtube.com/user/iconoclast187
https://www.youtube.com/user/AestheticGamer
https://www.youtube.com/user/BuffMaister
https://www.youtube.com/user/ThisIsYamishira
published: 28 Oct 2016
Jerma Streams - Michigan: Report from Hell
Jerma archived Michigan: Report from Hell (The original title of this stream was "Report from Hell", and was originally streamed/recorded on May 18th, 2018)
(Note: This channel is not run by Jerma/Ster, just a couple of fans wanting to archive the streams for a later date, and just for the community of fans.)
Join our discord: https://discord.gg/xUeJCZa
Twitch: https://www.twitch.tv/jerma985
Twitter:https://twitter.com/Jerma985
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YouTube 2nd/Highlight channel: https://www.youtube.com/channel/UCL7DDQWP6x7wy0O6L5ZIgxg
published: 19 May 2018
Michigan: Report From Hell - ALL CUTSCENES 4K
Direct Rip from a .bin file
Uprez done with FFmpeg, required an export in premiere to fix the audio
Sadly, there's a noise filter over every video. Sucks!
published: 07 Mar 2023
Michigan: Report From Hell - These scoops aren't gonna catch themselves - Full Playthrough!
I've legit been wanting to play this game for YEARS!! I finally did it. Thoroughly enjoyed it. Brisco is THE MAN. Nevermind the parts where I bullied him. Didn't happen. Nope.
I edited some backtracking/re-dos out! Unedited VOD with chat playback is here: https://www.twitch.tv/videos/1628322049
Follow me on Twitch to watch live!
https://Twitch.tv/runebee
https://Patreon.com/runebee
https://Twitter.com/runebee
Video edited by Runebee but follow the usual editor:
https://twitter.com/Miktavish
https://www.youtube.com/user/1Miktavish
ZaKaTV gets the scoop of a lifetime and I get my bush all sorted.
Support on Patreon: http://patreon.com/grimbeard
Follow me on Tumblr: https://www.tumblr.com/...
ZaKaTV gets the scoop of a lifetime and I get my bush all sorted.
Support on Patreon: http://patreon.com/grimbeard
Follow me on Tumblr: https://www.tumblr.com/goth-gamer-nation
Follow me on Twitter: https://twitter.com/grimebeard
NEW ALBUM: https://grimbeard.bandcamp.com/album/pure-acid-hell
SPOTIFY: https://open.spotify.com/album/1LVYzlSY6TdYsxm7KGBcY4?si=aKYUeErDSUaoNg2UtWlBxQ
Merch: https://teespring.com/stores/the-grim-shop
Intro song: WIP
Outro song: https://grimbeard.bandcamp.com/track/we-do-what-we-do-and-we-die
Donate: https://paypal.me/grimbeard
Ko-fi: https://ko-fi.com/grimbeard
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Discord: https://discord.gg/2a9Zct7
Follow me on Soundcloud: https://soundcloud.com/thousandface
00:00 - Intro
01:51 - History
09:20 - Story
26:26 - Spoiler Break
28:21 - Spoilers
01:04:25 - End of Spoilers
01:08:38 - Gameplay
01:24:01 - Sight/Sound
01:38:05 - Conclusion
01:42:45 - Credits
ZaKaTV gets the scoop of a lifetime and I get my bush all sorted.
Support on Patreon: http://patreon.com/grimbeard
Follow me on Tumblr: https://www.tumblr.com/goth-gamer-nation
Follow me on Twitter: https://twitter.com/grimebeard
NEW ALBUM: https://grimbeard.bandcamp.com/album/pure-acid-hell
SPOTIFY: https://open.spotify.com/album/1LVYzlSY6TdYsxm7KGBcY4?si=aKYUeErDSUaoNg2UtWlBxQ
Merch: https://teespring.com/stores/the-grim-shop
Intro song: WIP
Outro song: https://grimbeard.bandcamp.com/track/we-do-what-we-do-and-we-die
Donate: https://paypal.me/grimbeard
Ko-fi: https://ko-fi.com/grimbeard
Amazon Wishlist: https://www.amazon.com/hz/wishlist/ls/14ULHY89XDW7U?ref_=wl_share
Discord: https://discord.gg/2a9Zct7
Follow me on Soundcloud: https://soundcloud.com/thousandface
00:00 - Intro
01:51 - History
09:20 - Story
26:26 - Spoiler Break
28:21 - Spoilers
01:04:25 - End of Spoilers
01:08:38 - Gameplay
01:24:01 - Sight/Sound
01:38:05 - Conclusion
01:42:45 - Credits
The Game Grumps tackle news reporting in "Michigan," a game in which you can film the world around you and literally nothing else.
BREAK: 14:14 - This is goin...
The Game Grumps tackle news reporting in "Michigan," a game in which you can film the world around you and literally nothing else.
BREAK: 14:14 - This is going great!
Click to SUBSCRIBE ► http://bit.ly/GrumpSubscribe
MERCH!! ► http://gamegrumps.com/merch
Our email list! ► http://bit.ly/GrumpsStuffEmail
*********************************************
Edited by Ben ► http://twitter.com/penisbailey
*********************************************
We have NEW MERCH every THURSDAY!
Visit our WEBSITE every THURSDAY to check out the NEW items!
►►► http://gamegrumps.com/merch
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*********************************************
Game Grumps are:
Arin ► http://www.youtube.com/Egoraptor
Danny ► http://www.youtube.com/NinjaSexParty
#gaming ADD TAGS HERE, PLEASE 😀
The Game Grumps tackle news reporting in "Michigan," a game in which you can film the world around you and literally nothing else.
BREAK: 14:14 - This is going great!
Click to SUBSCRIBE ► http://bit.ly/GrumpSubscribe
MERCH!! ► http://gamegrumps.com/merch
Our email list! ► http://bit.ly/GrumpsStuffEmail
*********************************************
Edited by Ben ► http://twitter.com/penisbailey
*********************************************
We have NEW MERCH every THURSDAY!
Visit our WEBSITE every THURSDAY to check out the NEW items!
►►► http://gamegrumps.com/merch
*********************************************
FACEBOOK ► https://www.facebook.com/GameGrumps
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WEBSITE ► http://gamegrumps.com
*********************************************
Game Grumps are:
Arin ► http://www.youtube.com/Egoraptor
Danny ► http://www.youtube.com/NinjaSexParty
#gaming ADD TAGS HERE, PLEASE 😀
▬▬▬▬ You have entered the home of Horror Gaming ▬▬▬▬▬
▬▬▬▬▬▬▬▬ 👻Survival Horror Network 👻 ▬▬▬▬▬▬▬▬
SHN Rating for : Michigan Report From Hell 👻👻👻👻 out of 👻👻👻...
▬▬▬▬ You have entered the home of Horror Gaming ▬▬▬▬▬
▬▬▬▬▬▬▬▬ 👻Survival Horror Network 👻 ▬▬▬▬▬▬▬▬
SHN Rating for : Michigan Report From Hell 👻👻👻👻 out of 👻👻👻👻👻
👻 Follow SHN on Twitter : https://twitter.com/shnhorror
👻 Become a SHN Member:
👻 www.youtube.com/channel/UC4jOVIDDfiSo_8Ywrdqb95w/join
👻 Share Subscribe and Like the Content it helps us and motivates us to create more
awesome Horror Gaming content in our free time
(This Channel is not run Full-Time)
👻 Donations Appreciated! All the Money is put into the Channel
https://streamlabs.com/shnsurvivalhorrornetwork
👻 HORROR GENRE WILL NEVER DIE!
▬▬▬▬▬▬▬▬👻Thanks for Watching! 👻▬▬▬▬▬▬▬▬
▬▬▬▬ You have entered the home of Horror Gaming ▬▬▬▬▬
▬▬▬▬▬▬▬▬ 👻Survival Horror Network 👻 ▬▬▬▬▬▬▬▬
SHN Rating for : Michigan Report From Hell 👻👻👻👻 out of 👻👻👻👻👻
👻 Follow SHN on Twitter : https://twitter.com/shnhorror
👻 Become a SHN Member:
👻 www.youtube.com/channel/UC4jOVIDDfiSo_8Ywrdqb95w/join
👻 Share Subscribe and Like the Content it helps us and motivates us to create more
awesome Horror Gaming content in our free time
(This Channel is not run Full-Time)
👻 Donations Appreciated! All the Money is put into the Channel
https://streamlabs.com/shnsurvivalhorrornetwork
👻 HORROR GENRE WILL NEVER DIE!
▬▬▬▬▬▬▬▬👻Thanks for Watching! 👻▬▬▬▬▬▬▬▬
It's time for another horror game and today we archive one that is also arguably one of the strangest games ever made. It released back on the Playstation 2 in ...
It's time for another horror game and today we archive one that is also arguably one of the strangest games ever made. It released back on the Playstation 2 in Japan and Europe, but never had an American release.
The game has a very original concept in that you play as a cameraman for a television broadcast and you and the team of reporter and sound operator will do reporting in Michigan amidst an invasion of terrible monsters.
Rather than an action game it plays like an adventure game where you have to find certain key items in the enviroment in order to solve puzzles and progress the story. Rather than picking up the items yourself, you point them out to the reporter and she will pick it up to be used later. The same goes for combat as you point out the enemies and the reporter shoots. The sound guy is mostly there to tell terrible jokes.
And speaking of terrible...the voice acting is this game might be one of the worst voice acting performances I have ever heard. But it is also hilariously bad at the same time so I did laugh multiple times while playing this. The fact that it made me smile did make it more bearable.
It also has a very original concept in that if a reporter get caught, you can still continue the game with a different reporter who actually has different voice lines and voice actress. Now in order to do this it must mean you have to fail certain sections so its a bit difficult to portray, but in a way this played a bit like a rogue type game way ahead of its time.
Though I sound pretty positive it is quite a chore to play this game and it can often be a rather tedious experience. Yet there is literally no other game out there like this and therefore it deserves to be archived and remembered since this is one of those super obscure titles. Glad to report in and add these to the archives! Now for the weather report!
#michiganreportfromhell #gaming #ps2 #playstation2 #retrogaming #horrorgaming #funny #michigan
It's time for another horror game and today we archive one that is also arguably one of the strangest games ever made. It released back on the Playstation 2 in Japan and Europe, but never had an American release.
The game has a very original concept in that you play as a cameraman for a television broadcast and you and the team of reporter and sound operator will do reporting in Michigan amidst an invasion of terrible monsters.
Rather than an action game it plays like an adventure game where you have to find certain key items in the enviroment in order to solve puzzles and progress the story. Rather than picking up the items yourself, you point them out to the reporter and she will pick it up to be used later. The same goes for combat as you point out the enemies and the reporter shoots. The sound guy is mostly there to tell terrible jokes.
And speaking of terrible...the voice acting is this game might be one of the worst voice acting performances I have ever heard. But it is also hilariously bad at the same time so I did laugh multiple times while playing this. The fact that it made me smile did make it more bearable.
It also has a very original concept in that if a reporter get caught, you can still continue the game with a different reporter who actually has different voice lines and voice actress. Now in order to do this it must mean you have to fail certain sections so its a bit difficult to portray, but in a way this played a bit like a rogue type game way ahead of its time.
Though I sound pretty positive it is quite a chore to play this game and it can often be a rather tedious experience. Yet there is literally no other game out there like this and therefore it deserves to be archived and remembered since this is one of those super obscure titles. Glad to report in and add these to the archives! Now for the weather report!
#michiganreportfromhell #gaming #ps2 #playstation2 #retrogaming #horrorgaming #funny #michigan
YOTOBI TWITCH: https://www.twitch.tv/yotobi
Lun - Mer - Ven dalle 14 alle 16
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Vuoi fare una donazione per supportare il canale o...
YOTOBI TWITCH: https://www.twitch.tv/yotobi
Lun - Mer - Ven dalle 14 alle 16
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Vuoi fare una donazione per supportare il canale o semplicemente per offrirmi un caffè?
https://www.twitchalerts.com/donate/ilMatthewdeltubo
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
INSTAGRAM: https://www.instagram.com/matthewdeltubo/
TWITTER: https://twitter.com/IMDT_Matt
FACEBOOK: https://www.facebook.com/ilmatthewdeltubo/
YOTOBI TWITCH: https://www.twitch.tv/yotobi
Brani:
- The Last of Us Take on Me Epic Trailer Version Soundtrack
- Mozart - Lacrimosa EPIC VERSION by /krutikovmusic
- Bill and Frank OST (ft. Main Theme) The Last of Us HBO Episode 3
- ES_Traps Everywhere - Experia
- ES_Seek and Destroy - Deskant
- ES_Drum Circle - Sage Oursler
YOTOBI TWITCH: https://www.twitch.tv/yotobi
Lun - Mer - Ven dalle 14 alle 16
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Vuoi fare una donazione per supportare il canale o semplicemente per offrirmi un caffè?
https://www.twitchalerts.com/donate/ilMatthewdeltubo
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
INSTAGRAM: https://www.instagram.com/matthewdeltubo/
TWITTER: https://twitter.com/IMDT_Matt
FACEBOOK: https://www.facebook.com/ilmatthewdeltubo/
YOTOBI TWITCH: https://www.twitch.tv/yotobi
Brani:
- The Last of Us Take on Me Epic Trailer Version Soundtrack
- Mozart - Lacrimosa EPIC VERSION by /krutikovmusic
- Bill and Frank OST (ft. Main Theme) The Last of Us HBO Episode 3
- ES_Traps Everywhere - Experia
- ES_Seek and Destroy - Deskant
- ES_Drum Circle - Sage Oursler
➤ BECOME A VIP MEMBER: (and see AD-FREE, early videos): https://www.patreon.com/mattmcmuscles
➤ MERCH: https://www.pixelempire.com/collections/matt-mcmuscles
➤...
➤ BECOME A VIP MEMBER: (and see AD-FREE, early videos): https://www.patreon.com/mattmcmuscles
➤ MERCH: https://www.pixelempire.com/collections/matt-mcmuscles
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➤ TWITTER: https://twitter.com/MattMcMuscles
Edited by: https://twitter.com/gliscor101
Intro By: https://twitter.com/LeeMounseySmith
Skelematt art by: https://twitter.com/DonWoka
#spookygames #horrorgames #mattmcmuscles
WARNING : This video is over 400 haunted !
featuring playthroughs by
https://www.youtube.com/user/iconoclast187
https://www.youtube.com/user/AestheticGamer
ht...
WARNING : This video is over 400 haunted !
featuring playthroughs by
https://www.youtube.com/user/iconoclast187
https://www.youtube.com/user/AestheticGamer
https://www.youtube.com/user/BuffMaister
https://www.youtube.com/user/ThisIsYamishira
WARNING : This video is over 400 haunted !
featuring playthroughs by
https://www.youtube.com/user/iconoclast187
https://www.youtube.com/user/AestheticGamer
https://www.youtube.com/user/BuffMaister
https://www.youtube.com/user/ThisIsYamishira
Jerma archived Michigan: Report from Hell (The original title of this stream was "Report from Hell", and was originally streamed/recorded on May 18th, 2018)
(...
Jerma archived Michigan: Report from Hell (The original title of this stream was "Report from Hell", and was originally streamed/recorded on May 18th, 2018)
(Note: This channel is not run by Jerma/Ster, just a couple of fans wanting to archive the streams for a later date, and just for the community of fans.)
Join our discord: https://discord.gg/xUeJCZa
Twitch: https://www.twitch.tv/jerma985
Twitter:https://twitter.com/Jerma985
Youtube: https://www.youtube.com/user/Jerma985
YouTube 2nd/Highlight channel: https://www.youtube.com/channel/UCL7DDQWP6x7wy0O6L5ZIgxg
Jerma archived Michigan: Report from Hell (The original title of this stream was "Report from Hell", and was originally streamed/recorded on May 18th, 2018)
(Note: This channel is not run by Jerma/Ster, just a couple of fans wanting to archive the streams for a later date, and just for the community of fans.)
Join our discord: https://discord.gg/xUeJCZa
Twitch: https://www.twitch.tv/jerma985
Twitter:https://twitter.com/Jerma985
Youtube: https://www.youtube.com/user/Jerma985
YouTube 2nd/Highlight channel: https://www.youtube.com/channel/UCL7DDQWP6x7wy0O6L5ZIgxg
Direct Rip from a .bin file
Uprez done with FFmpeg, required an export in premiere to fix the audio
Sadly, there's a noise filter over every video. Sucks!
Direct Rip from a .bin file
Uprez done with FFmpeg, required an export in premiere to fix the audio
Sadly, there's a noise filter over every video. Sucks!
Direct Rip from a .bin file
Uprez done with FFmpeg, required an export in premiere to fix the audio
Sadly, there's a noise filter over every video. Sucks!
I've legit been wanting to play this game for YEARS!! I finally did it. Thoroughly enjoyed it. Brisco is THE MAN. Nevermind the parts where I bullied him. Didn'...
I've legit been wanting to play this game for YEARS!! I finally did it. Thoroughly enjoyed it. Brisco is THE MAN. Nevermind the parts where I bullied him. Didn't happen. Nope.
I edited some backtracking/re-dos out! Unedited VOD with chat playback is here: https://www.twitch.tv/videos/1628322049
Follow me on Twitch to watch live!
https://Twitch.tv/runebee
https://Patreon.com/runebee
https://Twitter.com/runebee
Video edited by Runebee but follow the usual editor:
https://twitter.com/Miktavish
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I've legit been wanting to play this game for YEARS!! I finally did it. Thoroughly enjoyed it. Brisco is THE MAN. Nevermind the parts where I bullied him. Didn't happen. Nope.
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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
Word Sense Disambiguation
Material based on Jurafsky and Martin (2019): https://web.stanford.edu/~jurafsky/slp3/
Slides: http://www.natalieparde.com/teaching/cs_421_fall2020/Word%20Sense%20Disambiguation.pdf
Twitter: @NatalieParde
published: 28 Dec 2020
Word Sense Disambiguation 🔥
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right now,
more details below:
https://perfectcomputerengineer.classx.co.in/new-courses/13-natural-language-processing-notes
* Natural Language Processing Playlist:
https://youtube.com/playlist?list=PLPIwNooIb9vimsumdWeKF3BRzs9tJ-_gy
* Human-Machine Interaction entire Playlist:
https://www.youtube.com/playlist?list=PLPIwNooIb9vhFRT_3JDQ0CGbW5HeFg3yK
* Distributed Computing:
https://youtube.com/playlist?list=PLPIwNooIb9vhYroMrNpoBYiBUFzTwEZot
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published: 05 Dec 2021
Disambiguation - An Introduction
Music by Neck Deep
published: 29 Jun 2017
Lecture 39 : Word Sense Disambiguation - I
To access the translated content:
1. The translated content of this course is available in regional languages. For details please visit https://nptel.ac.in/translation
The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video.
Your feedback is highly appreciated. Kindly fill this form https://forms.gle/XFZhSnHsCLML2LXA6
2. Regional language subtitles available for this course
To watch the subtitles in regional languages:
1. Click on the lecture under Course Details.
2. Play the video.
3. Now click on the Settings icon and a list of features will display
4. From that select the option Subtitles/CC.
5. Now select the Language fro...
published: 08 Mar 2017
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
NLU with Disambiguation
Here we show how context resolves the meaning of conversation and illustrate the impossibility to converse with today's mainstream approaches. Scalability comes from an effective model.
CONTENTS:
1:36 Overview
2:44 Scientific model and why real context is essential
4:16 Clarifying what real context is
7:10 Meaning and generalization versus colocated meaningless words
8:18 Building up an estimate of permutations
9:10 Data doesn't generalize
10:10 Qualia - referents containing their unsaid meanings
11:12 First simple quantification - 1.2 x 10 ^21!
13:02 Adding in error correction - 8.6 x 10^21!
14:58 Qualia extends more
15:49 Formal Linguistic model
16:32 Set-based matching versus rules-based parsing
17:42 The functional linguistic model
18:19 Understanding the combinatorial explosion creat...
published: 31 Aug 2018
Disambiguation
I have tried lately to read Shakespeare, and found it so intolerably dull that it nauseated me.
Charles Darwin
published: 13 Sep 2011
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop
Authors:
Yutao Zhang (Tsinghua University); Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang (Tsinghua University)
More on http://www.kdd.org/kdd2018/
published: 12 Jun 2018
Word Sense Disambiguation Using Naive bayes Classifier
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at [email protected]
🔔 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
🔔 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
Material based on Jurafsky and Martin (2019): https://web.stanford.edu/~jurafsky/slp3/
Slides: http://www.natalieparde.com/teaching/cs_421_fall2020/Word%20Sens...
Material based on Jurafsky and Martin (2019): https://web.stanford.edu/~jurafsky/slp3/
Slides: http://www.natalieparde.com/teaching/cs_421_fall2020/Word%20Sense%20Disambiguation.pdf
Twitter: @NatalieParde
Material based on Jurafsky and Martin (2019): https://web.stanford.edu/~jurafsky/slp3/
Slides: http://www.natalieparde.com/teaching/cs_421_fall2020/Word%20Sense%20Disambiguation.pdf
Twitter: @NatalieParde
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right ...
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right now,
more details below:
https://perfectcomputerengineer.classx.co.in/new-courses/13-natural-language-processing-notes
* Natural Language Processing Playlist:
https://youtube.com/playlist?list=PLPIwNooIb9vimsumdWeKF3BRzs9tJ-_gy
* Human-Machine Interaction entire Playlist:
https://www.youtube.com/playlist?list=PLPIwNooIb9vhFRT_3JDQ0CGbW5HeFg3yK
* Distributed Computing:
https://youtube.com/playlist?list=PLPIwNooIb9vhYroMrNpoBYiBUFzTwEZot
*Gears used for this YouTube Channel:
https://linktr.ee/perfectcomputerengineer
*Let's connect:
Instagram: https://www.instagram.com/planetojas/
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right now,
more details below:
https://perfectcomputerengineer.classx.co.in/new-courses/13-natural-language-processing-notes
* Natural Language Processing Playlist:
https://youtube.com/playlist?list=PLPIwNooIb9vimsumdWeKF3BRzs9tJ-_gy
* Human-Machine Interaction entire Playlist:
https://www.youtube.com/playlist?list=PLPIwNooIb9vhFRT_3JDQ0CGbW5HeFg3yK
* Distributed Computing:
https://youtube.com/playlist?list=PLPIwNooIb9vhYroMrNpoBYiBUFzTwEZot
*Gears used for this YouTube Channel:
https://linktr.ee/perfectcomputerengineer
*Let's connect:
Instagram: https://www.instagram.com/planetojas/
To access the translated content:
1. The translated content of this course is available in regional languages. For details please visit https://nptel.ac.in/tra...
To access the translated content:
1. The translated content of this course is available in regional languages. For details please visit https://nptel.ac.in/translation
The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video.
Your feedback is highly appreciated. Kindly fill this form https://forms.gle/XFZhSnHsCLML2LXA6
2. Regional language subtitles available for this course
To watch the subtitles in regional languages:
1. Click on the lecture under Course Details.
2. Play the video.
3. Now click on the Settings icon and a list of features will display
4. From that select the option Subtitles/CC.
5. Now select the Language from the available languages to read the subtitle in the regional language.
To access the translated content:
1. The translated content of this course is available in regional languages. For details please visit https://nptel.ac.in/translation
The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video.
Your feedback is highly appreciated. Kindly fill this form https://forms.gle/XFZhSnHsCLML2LXA6
2. Regional language subtitles available for this course
To watch the subtitles in regional languages:
1. Click on the lecture under Course Details.
2. Play the video.
3. Now click on the Settings icon and a list of features will display
4. From that select the option Subtitles/CC.
5. Now select the Language from the available languages to read the subtitle in the regional language.
#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 :) ❤️
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⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
*********************************************
Please feel free to share out the content and subscribe to my channel :)
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Tools I use for making videos :)
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⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
#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
Here we show how context resolves the meaning of conversation and illustrate the impossibility to converse with today's mainstream approaches. Scalability comes...
Here we show how context resolves the meaning of conversation and illustrate the impossibility to converse with today's mainstream approaches. Scalability comes from an effective model.
CONTENTS:
1:36 Overview
2:44 Scientific model and why real context is essential
4:16 Clarifying what real context is
7:10 Meaning and generalization versus colocated meaningless words
8:18 Building up an estimate of permutations
9:10 Data doesn't generalize
10:10 Qualia - referents containing their unsaid meanings
11:12 First simple quantification - 1.2 x 10 ^21!
13:02 Adding in error correction - 8.6 x 10^21!
14:58 Qualia extends more
15:49 Formal Linguistic model
16:32 Set-based matching versus rules-based parsing
17:42 The functional linguistic model
18:19 Understanding the combinatorial explosion created by the science
18:41 Removing POS from the dictionary
18:59 Removing causative forms from the dictionary
19:49 More Qualia
22:34 Parsing with statistics to guess context
23:45 2013 WSD model using computations, not meaning
25:49 Closing
Here we show how context resolves the meaning of conversation and illustrate the impossibility to converse with today's mainstream approaches. Scalability comes from an effective model.
CONTENTS:
1:36 Overview
2:44 Scientific model and why real context is essential
4:16 Clarifying what real context is
7:10 Meaning and generalization versus colocated meaningless words
8:18 Building up an estimate of permutations
9:10 Data doesn't generalize
10:10 Qualia - referents containing their unsaid meanings
11:12 First simple quantification - 1.2 x 10 ^21!
13:02 Adding in error correction - 8.6 x 10^21!
14:58 Qualia extends more
15:49 Formal Linguistic model
16:32 Set-based matching versus rules-based parsing
17:42 The functional linguistic model
18:19 Understanding the combinatorial explosion created by the science
18:41 Removing POS from the dictionary
18:59 Removing causative forms from the dictionary
19:49 More Qualia
22:34 Parsing with statistics to guess context
23:45 2013 WSD model using computations, not meaning
25:49 Closing
Authors:
Yutao Zhang (Tsinghua University); Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang (Tsinghua University)
More on http:...
Authors:
Yutao Zhang (Tsinghua University); Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang (Tsinghua University)
More on http://www.kdd.org/kdd2018/
Authors:
Yutao Zhang (Tsinghua University); Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang (Tsinghua University)
More on http://www.kdd.org/kdd2018/
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , ...
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at [email protected]
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at [email protected]
ZaKaTV gets the scoop of a lifetime and I get my bush all sorted.
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00:00 - Intro
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The Game Grumps tackle news reporting in "Michigan," a game in which you can film the world around you and literally nothing else.
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It's time for another horror game and today we archive one that is also arguably one of the strangest games ever made. It released back on the Playstation 2 in Japan and Europe, but never had an American release.
The game has a very original concept in that you play as a cameraman for a television broadcast and you and the team of reporter and sound operator will do reporting in Michigan amidst an invasion of terrible monsters.
Rather than an action game it plays like an adventure game where you have to find certain key items in the enviroment in order to solve puzzles and progress the story. Rather than picking up the items yourself, you point them out to the reporter and she will pick it up to be used later. The same goes for combat as you point out the enemies and the reporter shoots. The sound guy is mostly there to tell terrible jokes.
And speaking of terrible...the voice acting is this game might be one of the worst voice acting performances I have ever heard. But it is also hilariously bad at the same time so I did laugh multiple times while playing this. The fact that it made me smile did make it more bearable.
It also has a very original concept in that if a reporter get caught, you can still continue the game with a different reporter who actually has different voice lines and voice actress. Now in order to do this it must mean you have to fail certain sections so its a bit difficult to portray, but in a way this played a bit like a rogue type game way ahead of its time.
Though I sound pretty positive it is quite a chore to play this game and it can often be a rather tedious experience. Yet there is literally no other game out there like this and therefore it deserves to be archived and remembered since this is one of those super obscure titles. Glad to report in and add these to the archives! Now for the weather report!
#michiganreportfromhell #gaming #ps2 #playstation2 #retrogaming #horrorgaming #funny #michigan
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Lun - Mer - Ven dalle 14 alle 16
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Brani:
- The Last of Us Take on Me Epic Trailer Version Soundtrack
- Mozart - Lacrimosa EPIC VERSION by /krutikovmusic
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WARNING : This video is over 400 haunted !
featuring playthroughs by
https://www.youtube.com/user/iconoclast187
https://www.youtube.com/user/AestheticGamer
https://www.youtube.com/user/BuffMaister
https://www.youtube.com/user/ThisIsYamishira
Jerma archived Michigan: Report from Hell (The original title of this stream was "Report from Hell", and was originally streamed/recorded on May 18th, 2018)
(Note: This channel is not run by Jerma/Ster, just a couple of fans wanting to archive the streams for a later date, and just for the community of fans.)
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Direct Rip from a .bin file
Uprez done with FFmpeg, required an export in premiere to fix the audio
Sadly, there's a noise filter over every video. Sucks!
I've legit been wanting to play this game for YEARS!! I finally did it. Thoroughly enjoyed it. Brisco is THE MAN. Nevermind the parts where I bullied him. Didn't happen. Nope.
I edited some backtracking/re-dos out! Unedited VOD with chat playback is here: https://www.twitch.tv/videos/1628322049
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Michigan Stadium was built in 1927 at a cost of $950,000 (equivalent to $12.9 million in 2016) and had an original capacity of 72,000. Prior to the stadium's construction, the Wolverines played football at Ferry Field. Every home game since November 8, 1975 has drawn a crowd in excess of 100,000, an active streak of more than 200 contests. On September 7, 2013 the game between Michigan and the Notre Dame Fighting Irish attracted a crowd of 115,109, a record attendance for a college football game since 1927, and an NCAA single-game attendance record, overtaking the 114,804 record set two years previously for the same match up.
Michigan Stadium was designed with footings to allow the stadium's capacity to be expanded beyond 100,000. Fielding Yost envisioned a day where 150,000 seats would be needed. To keep construction costs low at the time, the decision was made to build a smaller stadium than Yost envisioned but to include the footings for future expansion.
🔔 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
Material based on Jurafsky and Martin (2019): https://web.stanford.edu/~jurafsky/slp3/
Slides: http://www.natalieparde.com/teaching/cs_421_fall2020/Word%20Sense%20Disambiguation.pdf
Twitter: @NatalieParde
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right now,
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#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.
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⏩ 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
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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
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#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
Here we show how context resolves the meaning of conversation and illustrate the impossibility to converse with today's mainstream approaches. Scalability comes from an effective model.
CONTENTS:
1:36 Overview
2:44 Scientific model and why real context is essential
4:16 Clarifying what real context is
7:10 Meaning and generalization versus colocated meaningless words
8:18 Building up an estimate of permutations
9:10 Data doesn't generalize
10:10 Qualia - referents containing their unsaid meanings
11:12 First simple quantification - 1.2 x 10 ^21!
13:02 Adding in error correction - 8.6 x 10^21!
14:58 Qualia extends more
15:49 Formal Linguistic model
16:32 Set-based matching versus rules-based parsing
17:42 The functional linguistic model
18:19 Understanding the combinatorial explosion created by the science
18:41 Removing POS from the dictionary
18:59 Removing causative forms from the dictionary
19:49 More Qualia
22:34 Parsing with statistics to guess context
23:45 2013 WSD model using computations, not meaning
25:49 Closing
Authors:
Yutao Zhang (Tsinghua University); Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang (Tsinghua University)
More on http://www.kdd.org/kdd2018/
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at [email protected]
...Tigers audience ready for the brand of uncomplicated prowess and appeal a Michigan native brought to then-Briggs Stadium and, for two seasons, to Tiger Stadium, after it got its new name in 1961.
“These Ohio State fans, they’ve got a psychotic obsession with Michigan, and they need to get therapy or something to get it fixed,” said Saban, who has found something of a second career as an analyst for ESPN’s “College GameDay.”.
11 in the final College Football Playoff rankings and just out of the first expanded 12-team CFP, is nearly a two-touchdown favorite against Michigan in the 2024 ReliaQuest Bowl ...Alabama kicks off against Michigan at 11 a.m.
ANN ARBOR, MI – A growing chain with locations in Ohio and Michigan has brought a new take on pizza to Ann Arbor... With a neon, 1980s-inspired interior, the restaurant and bar is a 15-minute walk from Michigan Stadium.
Rivalry weekend brought out the ugly side of college football as a number of brawls erupted during the final weekend of the regular season. The nastiest took place at OhioStadium after the Michigan Wolverines took down the Ohio State....
The legendary coach didn’t hold back while discussing Ohio State fans and their relationship with Michigan during an appearance on “The Pat McAfeeShow” on Friday ... 21, and Michigan isn’t in the playoff at all.
Michigan is preparing to face Alabama in the ReliaQuest Bowl on New Year’s Eve with players who have been on the team all season ... He took the field in uniform at JesuitHigh in Tampa for the first time on Friday during Michigan’s practice.