-
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
-
DeLonghi Dedica Disambiguation: EC680, EC685, EC785, EC885
What's the difference between the various DeLonghi Dedica models? There is the EC680, EC685, EC785 and now the EC885. What gives? The Dedica has been around since 2013, originally released (and still being sold) as the EC 680. Since then, we have seen three newer models released, including the EC 685, the EC 785, and most recently the EC 885. Let us take a look at these different models, and their commonalities and differences. With this video, I hope to help decode the differences, and help buyers make their decision.
https://tomscoffeecorner.com/delonghi-dedica-ec680-ec685-ec785-ec885-whats-the-difference
-------------------------------Products used/recommended in this video---------------------------------------------------
(these are affiliate links that help fund videos lik...
published: 19 Jan 2022
-
093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning...
published: 30 Nov 2022
-
Repo Men (2010) - Organ Collecting Scene (1/10) | Movieclips
Repo Men - Organ Collecting: Remy (Jude Law) repossesses a client's organs.
BUY THE MOVIE: https://www.fandangonow.com/details/movie/repo-men-2010/1MV5f3db01ab424e0f494370a409b583a57?cmp=Movieclips_YT_Description
Watch the best Repo Men scenes & clips:
https://www.youtube.com/playlist?list=PLZbXA4lyCtqpYQy3BetiL1I0SPIc9oLdb
FILM DESCRIPTION:
In the future, medical technology has advanced to the point where people can buy artificial organs to extend their lives. But if they default on payments, an organization known as the Union sends agents to repossess the organs. Remy (Jude Law) is one of the best agents in the business, but when he becomes the recipient of an artificial heart, he finds himself in the same dire straits as his many victims. With his former partner (Forest Whitaker) in h...
published: 16 Oct 2020
-
Laminar Flow DISAMBIGUATION
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisillusion
published: 14 Feb 2019
-
Entity Disambiguation with Extreme Multi label Ranking
Jyun-Yu Jiang, Amazon Search, Palo Alto, USA
published: 23 Jul 2024
-
[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
-
Circus (disambiguation) - Five Nights at Freddy's
Music: Circus (disambiguation)
Composer: U.Z. Inu
Playlist: https://www.youtube.com/playlist?list=PLL0CQjrcN8D1Ort9EqnXsxtTy2a6-Dcvr
Platform: PC
Please read the channel description.
published: 16 Jul 2023
-
Top 10 Post Apocalyptic TV Series
If you want to know how civilization would look once it is crumbled you should definitely watch our picks for the best Post Apocalyptic tv shows.
Discover the best…
📹 YouTube tool: https://www.tubebuddy.com/communitv
We missed your favorite Post-Apocalyptic TV Series? Let us know in the comments!
Follow us on...
Instagram: http://bit.ly/2rnljTB
Facebook: http://bit.ly/2PbYxGn
Movies in this Ranking:
10. Falling Skies (2011–2015): (00:26)
9. Colony (2016–2018): (01:16)
8. The Last Ship (2014–2018): (02:07)
7. Station Eleven (2021-2022): (02:56)
6. See (2019- ): (03:42)
5. The 100 (2014–2020): (04:29)
4. Sweet Tooth (2021- ): (05:17)
3. Jericho (2006–2008): (06:06)
2. Into the Badlands (2015–2019): (06:58)
1. The Walking Dead (2010–2022): (08:45)
You want to work with us?
For ...
published: 12 Jul 2022
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Pattern-Based Few-Shot Entity Disambiguation + Use Cases for Do It Yourself NLP
Boston NLP meetup, August 4, 2022, with speakers Philip Blair on Pattern-Based Few-Shot Entity Disambiguation and Marcelo Bursztein on Use Cases for Do It Yourself NLP. Program moderated by Seth Grimes.
published: 05 Aug 2022
11:18
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using t...
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems.
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
⏩ OUTLINE:
0:00 - Abstract
01:46 - Task Definition
02:11 - Data Collection approach
02:30 - WordNet Overview
03:35 - Sentence construction method table overview
05:27 - BERT(Token-CLS)
06:41 - GlossBERT
07:52 - Context-Gloss Pair with Weak Supervision
08:55 - GlossBERT(Token-CLS)
09:20 - GlossBERT(Sent-CLS)
09:44 - GlossBERT(Sent-CLS-WS)
10:09 - Results
⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
⏩ Paper: https://arxiv.org/abs/1908.07245v4
⏩ Code: https://github.com/HSLCY/GlossBERT
⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
⏩ Organisation: Fudan University
⏩ IMPORTANT LINKS
Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ
Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf
Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
*********************************************
⏩ Youtube - https://www.youtube.com/c/TechVizTheDataScienceGuy
⏩ Blog - https://prakhartechviz.blogspot.com
⏩ LinkedIn - https://linkedin.com/in/prakhar21
⏩ Medium - https://medium.com/@prakhar.mishra
⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
*********************************************
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
Tools I use for making videos :)
⏩ iPad - https://tinyurl.com/y39p6pwc
⏩ Apple Pencil - https://tinyurl.com/y5rk8txn
⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
https://wn.com/Glossbert_Bert_For_Word_Sense_Disambiguation_With_Gloss_Knowledge_(Research_Paper_Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems.
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
⏩ OUTLINE:
0:00 - Abstract
01:46 - Task Definition
02:11 - Data Collection approach
02:30 - WordNet Overview
03:35 - Sentence construction method table overview
05:27 - BERT(Token-CLS)
06:41 - GlossBERT
07:52 - Context-Gloss Pair with Weak Supervision
08:55 - GlossBERT(Token-CLS)
09:20 - GlossBERT(Sent-CLS)
09:44 - GlossBERT(Sent-CLS-WS)
10:09 - Results
⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
⏩ Paper: https://arxiv.org/abs/1908.07245v4
⏩ Code: https://github.com/HSLCY/GlossBERT
⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
⏩ Organisation: Fudan University
⏩ IMPORTANT LINKS
Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ
Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf
Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
*********************************************
⏩ Youtube - https://www.youtube.com/c/TechVizTheDataScienceGuy
⏩ Blog - https://prakhartechviz.blogspot.com
⏩ LinkedIn - https://linkedin.com/in/prakhar21
⏩ Medium - https://medium.com/@prakhar.mishra
⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
*********************************************
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
Tools I use for making videos :)
⏩ iPad - https://tinyurl.com/y39p6pwc
⏩ Apple Pencil - https://tinyurl.com/y5rk8txn
⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
- published: 07 Apr 2021
- views: 2095
4:50
DeLonghi Dedica Disambiguation: EC680, EC685, EC785, EC885
What's the difference between the various DeLonghi Dedica models? There is the EC680, EC685, EC785 and now the EC885. What gives? The Dedica has been around sin...
What's the difference between the various DeLonghi Dedica models? There is the EC680, EC685, EC785 and now the EC885. What gives? The Dedica has been around since 2013, originally released (and still being sold) as the EC 680. Since then, we have seen three newer models released, including the EC 685, the EC 785, and most recently the EC 885. Let us take a look at these different models, and their commonalities and differences. With this video, I hope to help decode the differences, and help buyers make their decision.
https://tomscoffeecorner.com/delonghi-dedica-ec680-ec685-ec785-ec885-whats-the-difference
-------------------------------Products used/recommended in this video---------------------------------------------------
(these are affiliate links that help fund videos like this, at no extra cost to you)
►DeLonghi Dedica EC685:
🇩🇪 https://amzn.to/3Ak7mFr
🇺🇸 https://amzn.to/3GStdpX
🇬🇧 https://amzn.to/3yfHqu6
🇨🇦 https://amzn.to/3537jCa
🇦🇺 https://amzn.to/3a9qhdq
🇫🇷 https://amzn.to/3QZX7xT
🇵🇱 https://amzn.to/3I8wSBp
🇮🇹 https://amzn.to/3xJkQuW
►Dedica EC885:
🇺🇸 https://amzn.to/3OTzvZP
🇩🇪 https://amzn.to/3RtAy3R
🇮🇹 https://amzn.to/3e4Po2O
🇫🇷 https://amzn.to/3E8hLI9
🇪🇸 https://amzn.to/3dYwL0s
🇳🇱 https://amzn.to/3ya6nrr
🇨🇦 https://amzn.to/3y6ivZL
🇦🇺 https://amzn.to/3OQyotY
►Dedica EC785:
🇩🇪 https://amzn.to/3QZZkcB
🇫🇷 https://amzn.to/3y3T1fw
🇵🇱 https://amzn.to/3Ov0wmJ
🇮🇹 https://amzn.to/3yyIMBe
🇬🇧 https://amzn.to/3P0I0md
🛠 All the Dedica Gear: https://kit.co/tomscoffeecorner/delonghi-dedica-accessories (Amazon)
🛠 Grinder Suggestions: https://kit.co/tomscoffeecorner/grinder-suggestions (Amazon)
(*As an Amazon Associate I earn from qualifying purchases)
Chapters:
0:00 Intro
0:44 Dedica Commonalities
1:47 EC685
2:31 EC785
3:00 EC885
3:41 Which Model to Buy?
Specifications:
- 15 bar pressure heating system
- 15 cm wide, or 6 inches wide
- 149 x 330 x 303 mm (width x length, height)
- 1.1 liter water tank
- 1300 watts
- stainless steel finish
- auto stand-by
- removable water tank
- removable drip tray
- fast thermoblock system
- ESE pod compatible
AFFILIATE DISCLOSURE:
Some of the links used in the description will direct you to Amazon, as an Amazon Associate I earn from qualifying purchases at no additional cost to you.. Affiliate commissions help fund videos like this one.
#delonghidedicacomparison #tomscoffeecorner #delonghidedica
https://wn.com/Delonghi_Dedica_Disambiguation_Ec680,_Ec685,_Ec785,_Ec885
What's the difference between the various DeLonghi Dedica models? There is the EC680, EC685, EC785 and now the EC885. What gives? The Dedica has been around since 2013, originally released (and still being sold) as the EC 680. Since then, we have seen three newer models released, including the EC 685, the EC 785, and most recently the EC 885. Let us take a look at these different models, and their commonalities and differences. With this video, I hope to help decode the differences, and help buyers make their decision.
https://tomscoffeecorner.com/delonghi-dedica-ec680-ec685-ec785-ec885-whats-the-difference
-------------------------------Products used/recommended in this video---------------------------------------------------
(these are affiliate links that help fund videos like this, at no extra cost to you)
►DeLonghi Dedica EC685:
🇩🇪 https://amzn.to/3Ak7mFr
🇺🇸 https://amzn.to/3GStdpX
🇬🇧 https://amzn.to/3yfHqu6
🇨🇦 https://amzn.to/3537jCa
🇦🇺 https://amzn.to/3a9qhdq
🇫🇷 https://amzn.to/3QZX7xT
🇵🇱 https://amzn.to/3I8wSBp
🇮🇹 https://amzn.to/3xJkQuW
►Dedica EC885:
🇺🇸 https://amzn.to/3OTzvZP
🇩🇪 https://amzn.to/3RtAy3R
🇮🇹 https://amzn.to/3e4Po2O
🇫🇷 https://amzn.to/3E8hLI9
🇪🇸 https://amzn.to/3dYwL0s
🇳🇱 https://amzn.to/3ya6nrr
🇨🇦 https://amzn.to/3y6ivZL
🇦🇺 https://amzn.to/3OQyotY
►Dedica EC785:
🇩🇪 https://amzn.to/3QZZkcB
🇫🇷 https://amzn.to/3y3T1fw
🇵🇱 https://amzn.to/3Ov0wmJ
🇮🇹 https://amzn.to/3yyIMBe
🇬🇧 https://amzn.to/3P0I0md
🛠 All the Dedica Gear: https://kit.co/tomscoffeecorner/delonghi-dedica-accessories (Amazon)
🛠 Grinder Suggestions: https://kit.co/tomscoffeecorner/grinder-suggestions (Amazon)
(*As an Amazon Associate I earn from qualifying purchases)
Chapters:
0:00 Intro
0:44 Dedica Commonalities
1:47 EC685
2:31 EC785
3:00 EC885
3:41 Which Model to Buy?
Specifications:
- 15 bar pressure heating system
- 15 cm wide, or 6 inches wide
- 149 x 330 x 303 mm (width x length, height)
- 1.1 liter water tank
- 1300 watts
- stainless steel finish
- auto stand-by
- removable water tank
- removable drip tray
- fast thermoblock system
- ESE pod compatible
AFFILIATE DISCLOSURE:
Some of the links used in the description will direct you to Amazon, as an Amazon Associate I earn from qualifying purchases at no additional cost to you.. Affiliate commissions help fund videos like this one.
#delonghidedicacomparison #tomscoffeecorner #delonghidedica
- published: 19 Jan 2022
- views: 138432
35:11
093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities ...
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
https://wn.com/093_Keyword_Disambiguation_Using_Transformers_And_Clustering_To_Build_Cleaner_Knowledge_Nodes2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
- published: 30 Nov 2022
- views: 515
3:10
Repo Men (2010) - Organ Collecting Scene (1/10) | Movieclips
Repo Men - Organ Collecting: Remy (Jude Law) repossesses a client's organs.
BUY THE MOVIE: https://www.fandangonow.com/details/movie/repo-men-2010/1MV5f3db01ab4...
Repo Men - Organ Collecting: Remy (Jude Law) repossesses a client's organs.
BUY THE MOVIE: https://www.fandangonow.com/details/movie/repo-men-2010/1MV5f3db01ab424e0f494370a409b583a57?cmp=Movieclips_YT_Description
Watch the best Repo Men scenes & clips:
https://www.youtube.com/playlist?list=PLZbXA4lyCtqpYQy3BetiL1I0SPIc9oLdb
FILM DESCRIPTION:
In the future, medical technology has advanced to the point where people can buy artificial organs to extend their lives. But if they default on payments, an organization known as the Union sends agents to repossess the organs. Remy (Jude Law) is one of the best agents in the business, but when he becomes the recipient of an artificial heart, he finds himself in the same dire straits as his many victims. With his former partner (Forest Whitaker) in hot pursuit, Remy runs for his life.
CREDITS:
TM & © Universal (2010)
Cast: Jude Law
Screenwriter: Eric Garcia, Garrett Lerner
Director: Miguel Sapochnik
Watch More:
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The MOVIECLIPS channel is the largest collection of licensed movie clips on the web. Here you will find unforgettable moments, scenes, and lines from all your favorite films. Made by movie fans, for movie fans.
https://wn.com/Repo_Men_(2010)_Organ_Collecting_Scene_(1_10)_|_Movieclips
Repo Men - Organ Collecting: Remy (Jude Law) repossesses a client's organs.
BUY THE MOVIE: https://www.fandangonow.com/details/movie/repo-men-2010/1MV5f3db01ab424e0f494370a409b583a57?cmp=Movieclips_YT_Description
Watch the best Repo Men scenes & clips:
https://www.youtube.com/playlist?list=PLZbXA4lyCtqpYQy3BetiL1I0SPIc9oLdb
FILM DESCRIPTION:
In the future, medical technology has advanced to the point where people can buy artificial organs to extend their lives. But if they default on payments, an organization known as the Union sends agents to repossess the organs. Remy (Jude Law) is one of the best agents in the business, but when he becomes the recipient of an artificial heart, he finds himself in the same dire straits as his many victims. With his former partner (Forest Whitaker) in hot pursuit, Remy runs for his life.
CREDITS:
TM & © Universal (2010)
Cast: Jude Law
Screenwriter: Eric Garcia, Garrett Lerner
Director: Miguel Sapochnik
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- published: 16 Oct 2020
- views: 128888
9:18
Laminar Flow DISAMBIGUATION
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisill...
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisillusion
https://wn.com/Laminar_Flow_Disambiguation
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisillusion
- published: 14 Feb 2019
- views: 9885559
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
0:47
Circus (disambiguation) - Five Nights at Freddy's
Music: Circus (disambiguation)
Composer: U.Z. Inu
Playlist: https://www.youtube.com/playlist?list=PLL0CQjrcN8D1Ort9EqnXsxtTy2a6-Dcvr
Platform: PC
Please read t...
Music: Circus (disambiguation)
Composer: U.Z. Inu
Playlist: https://www.youtube.com/playlist?list=PLL0CQjrcN8D1Ort9EqnXsxtTy2a6-Dcvr
Platform: PC
Please read the channel description.
https://wn.com/Circus_(Disambiguation)_Five_Nights_At_Freddy's
Music: Circus (disambiguation)
Composer: U.Z. Inu
Playlist: https://www.youtube.com/playlist?list=PLL0CQjrcN8D1Ort9EqnXsxtTy2a6-Dcvr
Platform: PC
Please read the channel description.
- published: 16 Jul 2023
- views: 19352
9:14
Top 10 Post Apocalyptic TV Series
If you want to know how civilization would look once it is crumbled you should definitely watch our picks for the best Post Apocalyptic tv shows.
Discover the ...
If you want to know how civilization would look once it is crumbled you should definitely watch our picks for the best Post Apocalyptic tv shows.
Discover the best…
📹 YouTube tool: https://www.tubebuddy.com/communitv
We missed your favorite Post-Apocalyptic TV Series? Let us know in the comments!
Follow us on...
Instagram: http://bit.ly/2rnljTB
Facebook: http://bit.ly/2PbYxGn
Movies in this Ranking:
10. Falling Skies (2011–2015): (00:26)
9. Colony (2016–2018): (01:16)
8. The Last Ship (2014–2018): (02:07)
7. Station Eleven (2021-2022): (02:56)
6. See (2019- ): (03:42)
5. The 100 (2014–2020): (04:29)
4. Sweet Tooth (2021- ): (05:17)
3. Jericho (2006–2008): (06:06)
2. Into the Badlands (2015–2019): (06:58)
1. The Walking Dead (2010–2022): (08:45)
You want to work with us?
For collaboration requests please contact us via…
Mail:
[email protected]
Music: www.bensound.com
https://wn.com/Top_10_Post_Apocalyptic_Tv_Series
If you want to know how civilization would look once it is crumbled you should definitely watch our picks for the best Post Apocalyptic tv shows.
Discover the best…
📹 YouTube tool: https://www.tubebuddy.com/communitv
We missed your favorite Post-Apocalyptic TV Series? Let us know in the comments!
Follow us on...
Instagram: http://bit.ly/2rnljTB
Facebook: http://bit.ly/2PbYxGn
Movies in this Ranking:
10. Falling Skies (2011–2015): (00:26)
9. Colony (2016–2018): (01:16)
8. The Last Ship (2014–2018): (02:07)
7. Station Eleven (2021-2022): (02:56)
6. See (2019- ): (03:42)
5. The 100 (2014–2020): (04:29)
4. Sweet Tooth (2021- ): (05:17)
3. Jericho (2006–2008): (06:06)
2. Into the Badlands (2015–2019): (06:58)
1. The Walking Dead (2010–2022): (08:45)
You want to work with us?
For collaboration requests please contact us via…
Mail:
[email protected]
Music: www.bensound.com
- published: 12 Jul 2022
- views: 1666290
52:44
Pattern-Based Few-Shot Entity Disambiguation + Use Cases for Do It Yourself NLP
Boston NLP meetup, August 4, 2022, with speakers Philip Blair on Pattern-Based Few-Shot Entity Disambiguation and Marcelo Bursztein on Use Cases for Do It Yours...
Boston NLP meetup, August 4, 2022, with speakers Philip Blair on Pattern-Based Few-Shot Entity Disambiguation and Marcelo Bursztein on Use Cases for Do It Yourself NLP. Program moderated by Seth Grimes.
https://wn.com/Pattern_Based_Few_Shot_Entity_Disambiguation_Use_Cases_For_Do_It_Yourself_Nlp
Boston NLP meetup, August 4, 2022, with speakers Philip Blair on Pattern-Based Few-Shot Entity Disambiguation and Marcelo Bursztein on Use Cases for Do It Yourself NLP. Program moderated by Seth Grimes.
- published: 05 Aug 2022
- views: 250