-
Disambiguation Meaning
Video shows what disambiguation means. The removal of ambiguity.. disambiguation synonyms: clarification, enlightenment, illumination. disambiguation pronunciation. How to pronounce, definition by Wiktionary dictionary. disambiguation meaning. Powered by MaryTTS
published: 15 Apr 2015
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How AI is Solving Name Disambiguation Issues in Scientific Publishing | Laura Dormer Explains
Discover how AI and ORCID are making it easier for editors to identify scientists and their work. Laura Dormer, Co-Founder of Becaris Publishing, explains how technology is helping solve name disambiguation issues in scientific publishing. #AI #scientificpublishing #orcid #editors #technology
published: 02 Oct 2024
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Disambiguation
Welcome to another edition of the VT Podcast which I’ve called Ideas That Matter.
In this episode, I talk about Disambiguation.
If you want to change the world, you have to see the world for what it is. We humans are pattern-seeking animals. We love stories. Our minds are hard-wired to organize the world using patterns, which saves our conscious minds a lot of mental effort. But it's also become a limitation for us - it's easy to get stuck in patterns that don't serve us well. If you're dispelling myths about yourself, or if you're trying to change your life, start by looking at the small things - the patterns that shape your life on a daily basis.
Listen in.
Book Vusi for a Keynote: https://vusithembekwayo.com/book-vusi/
Get mentored by Vusi: https://vtclub100.com/
Make sure to sta...
published: 08 Sep 2022
-
[PLDI24] Static Analysis for Checking the Disambiguation Robustness of Regular Expressions
Static Analysis for Checking the Disambiguation Robustness of Regular Expressions (Video, PLDI 2024)
Konstantinos Mamouras, Alexis Le Glaunec, Wu Angela Li, and Agnishom Chattopadhyay
(Rice University, USA; Rice University, USA; Rice University, USA; Rice University, USA)
Abstract: Regular expressions are commonly used for finding and extracting matches from sequence data. Due to the inherent ambiguity of regular expressions, a disambiguation policy must be considered for the match extraction problem, in order to uniquely determine the desired match out of the possibly many matches. The most common disambiguation policies are the POSIX policy and the greedy (PCRE) policy. The POSIX policy chooses the longest match out of the leftmost ones. The greedy policy chooses a leftmost match and fu...
published: 23 Jul 2024
-
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
*Gears used for this YouTube Channel:
https://linktr.ee/perfectcomputerengineer
*Let's connect:
Instagram: https://www.instagram.com/planetojas/
published: 05 Dec 2021
-
[CVPR 2024] From Correspondences to Pose: Non-minimal Relative Pose without Disambiguation
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
Authors: Javier Tirado-Garín and Javier Civera
Project Page: https://javrtg.github.io/C2P
Paper: https://arxiv.org/abs/2312.05995
Code: https://github.com/javrtg/C2P
Abstract:
Estimating the relative camera pose from n ≥ 5 correspondences between two calibrated views is a fundamental task in computer vision. This process typically involves two stages: 1) estimating the essential matrix between the views, and 2) disambiguating among the four candidate relative poses that satisfy the epipolar geometry. In this paper, we demonstrate a novel approach that, for the first time, bypasses the second stage. Specifically, we show that it is possible to directly estimate the correct relative camera po...
published: 05 Jun 2024
-
harvard & aliens & crackpots: a disambiguation of Avi Loeb
Crackpots 2: Aliens, harvard, harvard aliens? 'Oumuamua? Planet 9? Dinosaurs?
Can physicists be physics crackpots? Of course. Is Avi Loeb a crackpot? Maybe.
The Avi Loeb criticism starts around 24:00.
Francis Perey atlantic article: https://www.theatlantic.com/science/archive/2018/11/science-full-mavericks-like-my-grandfather-was-his-physics-theory-right/574573/
published: 25 Aug 2022
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ApplyAI Hands-on in NLP: Word Disambiguation and Automatic Summarization
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
published: 09 May 2020
-
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as a...
published: 07 Jan 2021
-
Entity Disambiguation and Structured Data Extraction
Access Innovations' Bob Kasenchak explains how to disambiguate duplicate named entities in data extraction and conversion in this clip from his presentation at Data Summit 2019.
published: 06 Jan 2020
0:33
Disambiguation Meaning
Video shows what disambiguation means. The removal of ambiguity.. disambiguation synonyms: clarification, enlightenment, illumination. disambiguation pronuncia...
Video shows what disambiguation means. The removal of ambiguity.. disambiguation synonyms: clarification, enlightenment, illumination. disambiguation pronunciation. How to pronounce, definition by Wiktionary dictionary. disambiguation meaning. Powered by MaryTTS
https://wn.com/Disambiguation_Meaning
Video shows what disambiguation means. The removal of ambiguity.. disambiguation synonyms: clarification, enlightenment, illumination. disambiguation pronunciation. How to pronounce, definition by Wiktionary dictionary. disambiguation meaning. Powered by MaryTTS
- published: 15 Apr 2015
- views: 8767
0:53
How AI is Solving Name Disambiguation Issues in Scientific Publishing | Laura Dormer Explains
Discover how AI and ORCID are making it easier for editors to identify scientists and their work. Laura Dormer, Co-Founder of Becaris Publishing, explains how t...
Discover how AI and ORCID are making it easier for editors to identify scientists and their work. Laura Dormer, Co-Founder of Becaris Publishing, explains how technology is helping solve name disambiguation issues in scientific publishing. #AI #scientificpublishing #orcid #editors #technology
https://wn.com/How_Ai_Is_Solving_Name_Disambiguation_Issues_In_Scientific_Publishing_|_Laura_Dormer_Explains
Discover how AI and ORCID are making it easier for editors to identify scientists and their work. Laura Dormer, Co-Founder of Becaris Publishing, explains how technology is helping solve name disambiguation issues in scientific publishing. #AI #scientificpublishing #orcid #editors #technology
- published: 02 Oct 2024
- views: 2
25:00
Disambiguation
Welcome to another edition of the VT Podcast which I’ve called Ideas That Matter.
In this episode, I talk about Disambiguation.
If you want to change the wor...
Welcome to another edition of the VT Podcast which I’ve called Ideas That Matter.
In this episode, I talk about Disambiguation.
If you want to change the world, you have to see the world for what it is. We humans are pattern-seeking animals. We love stories. Our minds are hard-wired to organize the world using patterns, which saves our conscious minds a lot of mental effort. But it's also become a limitation for us - it's easy to get stuck in patterns that don't serve us well. If you're dispelling myths about yourself, or if you're trying to change your life, start by looking at the small things - the patterns that shape your life on a daily basis.
Listen in.
Book Vusi for a Keynote: https://vusithembekwayo.com/book-vusi/
Get mentored by Vusi: https://vtclub100.com/
Make sure to stay up to date and connect with Vusi on all social platforms:
Instagram: https://instagram.com/vusithembekwayo/
Facebook: https://www.facebook.com/VusiThembekwayoPage
Twitter : https://twitter.com/VusiThembekwayo
LinkedIn : https://www.linkedin.com/in/vusithembekwayo/
https://wn.com/Disambiguation
Welcome to another edition of the VT Podcast which I’ve called Ideas That Matter.
In this episode, I talk about Disambiguation.
If you want to change the world, you have to see the world for what it is. We humans are pattern-seeking animals. We love stories. Our minds are hard-wired to organize the world using patterns, which saves our conscious minds a lot of mental effort. But it's also become a limitation for us - it's easy to get stuck in patterns that don't serve us well. If you're dispelling myths about yourself, or if you're trying to change your life, start by looking at the small things - the patterns that shape your life on a daily basis.
Listen in.
Book Vusi for a Keynote: https://vusithembekwayo.com/book-vusi/
Get mentored by Vusi: https://vtclub100.com/
Make sure to stay up to date and connect with Vusi on all social platforms:
Instagram: https://instagram.com/vusithembekwayo/
Facebook: https://www.facebook.com/VusiThembekwayoPage
Twitter : https://twitter.com/VusiThembekwayo
LinkedIn : https://www.linkedin.com/in/vusithembekwayo/
- published: 08 Sep 2022
- views: 22658
22:12
[PLDI24] Static Analysis for Checking the Disambiguation Robustness of Regular Expressions
Static Analysis for Checking the Disambiguation Robustness of Regular Expressions (Video, PLDI 2024)
Konstantinos Mamouras, Alexis Le Glaunec, Wu Angela Li, and...
Static Analysis for Checking the Disambiguation Robustness of Regular Expressions (Video, PLDI 2024)
Konstantinos Mamouras, Alexis Le Glaunec, Wu Angela Li, and Agnishom Chattopadhyay
(Rice University, USA; Rice University, USA; Rice University, USA; Rice University, USA)
Abstract: Regular expressions are commonly used for finding and extracting matches from sequence data. Due to the inherent ambiguity of regular expressions, a disambiguation policy must be considered for the match extraction problem, in order to uniquely determine the desired match out of the possibly many matches. The most common disambiguation policies are the POSIX policy and the greedy (PCRE) policy. The POSIX policy chooses the longest match out of the leftmost ones. The greedy policy chooses a leftmost match and further disambiguates using a greedy interpretation of Kleene iteration to match as many times as possible. The choice of disambiguation policy can affect the output of match extraction, which can be an issue for reusing regular expressions across regex engines. In this paper, we introduce and study the notion of disambiguation robustness for regular expressions. A regular expression is robust if its extraction semantics is indifferent to whether the POSIX or greedy disambiguation policy is chosen. This gives rise to a decision problem for regular expressions, which we prove to be PSPACE-complete. We propose a static analysis algorithm for checking the (non-)robustness of regular expressions and two performance optimizations. We have implemented the proposed algorithms and we have shown experimentally that they are practical for analyzing large datasets of regular expressions derived from various application domains.
Article: https://doi.org/10.1145/3656461
ORCID: https://orcid.org/0000-0003-1209-7738, https://orcid.org/0000-0002-5444-5924, https://orcid.org/0000-0002-4523-3401, https://orcid.org/0009-0007-0462-8080
Video Tags: regex, automata, parsing, disambiguation strategy, static analysis, pldi24main-p806-p, doi:10.1145/3656461, orcid:0000-0003-1209-7738, orcid:0000-0002-5444-5924, orcid:0000-0002-4523-3401, orcid:0009-0007-0462-8080
Presentation at the PLDI 2024 conference, June 24–28, 2024, https://pldi24.sigplan.org/
Sponsored by ACM SIGPLAN,
https://wn.com/Pldi24_Static_Analysis_For_Checking_The_Disambiguation_Robustness_Of_Regular_Expressions
Static Analysis for Checking the Disambiguation Robustness of Regular Expressions (Video, PLDI 2024)
Konstantinos Mamouras, Alexis Le Glaunec, Wu Angela Li, and Agnishom Chattopadhyay
(Rice University, USA; Rice University, USA; Rice University, USA; Rice University, USA)
Abstract: Regular expressions are commonly used for finding and extracting matches from sequence data. Due to the inherent ambiguity of regular expressions, a disambiguation policy must be considered for the match extraction problem, in order to uniquely determine the desired match out of the possibly many matches. The most common disambiguation policies are the POSIX policy and the greedy (PCRE) policy. The POSIX policy chooses the longest match out of the leftmost ones. The greedy policy chooses a leftmost match and further disambiguates using a greedy interpretation of Kleene iteration to match as many times as possible. The choice of disambiguation policy can affect the output of match extraction, which can be an issue for reusing regular expressions across regex engines. In this paper, we introduce and study the notion of disambiguation robustness for regular expressions. A regular expression is robust if its extraction semantics is indifferent to whether the POSIX or greedy disambiguation policy is chosen. This gives rise to a decision problem for regular expressions, which we prove to be PSPACE-complete. We propose a static analysis algorithm for checking the (non-)robustness of regular expressions and two performance optimizations. We have implemented the proposed algorithms and we have shown experimentally that they are practical for analyzing large datasets of regular expressions derived from various application domains.
Article: https://doi.org/10.1145/3656461
ORCID: https://orcid.org/0000-0003-1209-7738, https://orcid.org/0000-0002-5444-5924, https://orcid.org/0000-0002-4523-3401, https://orcid.org/0009-0007-0462-8080
Video Tags: regex, automata, parsing, disambiguation strategy, static analysis, pldi24main-p806-p, doi:10.1145/3656461, orcid:0000-0003-1209-7738, orcid:0000-0002-5444-5924, orcid:0000-0002-4523-3401, orcid:0009-0007-0462-8080
Presentation at the PLDI 2024 conference, June 24–28, 2024, https://pldi24.sigplan.org/
Sponsored by ACM SIGPLAN,
- published: 23 Jul 2024
- views: 112
8:29
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 ...
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/
https://wn.com/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
*Gears used for this YouTube Channel:
https://linktr.ee/perfectcomputerengineer
*Let's connect:
Instagram: https://www.instagram.com/planetojas/
- published: 05 Dec 2021
- views: 56954
4:59
[CVPR 2024] From Correspondences to Pose: Non-minimal Relative Pose without Disambiguation
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
Authors: Javier Tirado-Garín and Javier Civera
Project Page:...
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
Authors: Javier Tirado-Garín and Javier Civera
Project Page: https://javrtg.github.io/C2P
Paper: https://arxiv.org/abs/2312.05995
Code: https://github.com/javrtg/C2P
Abstract:
Estimating the relative camera pose from n ≥ 5 correspondences between two calibrated views is a fundamental task in computer vision. This process typically involves two stages: 1) estimating the essential matrix between the views, and 2) disambiguating among the four candidate relative poses that satisfy the epipolar geometry. In this paper, we demonstrate a novel approach that, for the first time, bypasses the second stage. Specifically, we show that it is possible to directly estimate the correct relative camera pose from correspondences without needing a post-processing step to enforce the cheirality constraint on the correspondences.
Building on recent advances in certifiable non-minimal optimization, we frame the relative pose estimation as a Quadratically Constrained Quadratic Program (QCQP). By applying the appropriate constraints, we ensure the estimation of a camera pose that corresponds to a valid 3D geometry and that is globally optimal when certified. We validate our method through exhaustive synthetic and real-world experiments, confirming the efficacy, efficiency and accuracy of the proposed approach.
0:00 Introduction
0:40 Pose from correspondences
1:36 Problem: Traditional approaches need disambiguation
2:58 Our approach
4:41 Summary
https://wn.com/Cvpr_2024_From_Correspondences_To_Pose_Non_Minimal_Relative_Pose_Without_Disambiguation
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
Authors: Javier Tirado-Garín and Javier Civera
Project Page: https://javrtg.github.io/C2P
Paper: https://arxiv.org/abs/2312.05995
Code: https://github.com/javrtg/C2P
Abstract:
Estimating the relative camera pose from n ≥ 5 correspondences between two calibrated views is a fundamental task in computer vision. This process typically involves two stages: 1) estimating the essential matrix between the views, and 2) disambiguating among the four candidate relative poses that satisfy the epipolar geometry. In this paper, we demonstrate a novel approach that, for the first time, bypasses the second stage. Specifically, we show that it is possible to directly estimate the correct relative camera pose from correspondences without needing a post-processing step to enforce the cheirality constraint on the correspondences.
Building on recent advances in certifiable non-minimal optimization, we frame the relative pose estimation as a Quadratically Constrained Quadratic Program (QCQP). By applying the appropriate constraints, we ensure the estimation of a camera pose that corresponds to a valid 3D geometry and that is globally optimal when certified. We validate our method through exhaustive synthetic and real-world experiments, confirming the efficacy, efficiency and accuracy of the proposed approach.
0:00 Introduction
0:40 Pose from correspondences
1:36 Problem: Traditional approaches need disambiguation
2:58 Our approach
4:41 Summary
- published: 05 Jun 2024
- views: 89
1:06:38
harvard & aliens & crackpots: a disambiguation of Avi Loeb
Crackpots 2: Aliens, harvard, harvard aliens? 'Oumuamua? Planet 9? Dinosaurs?
Can physicists be physics crackpots? Of course. Is Avi Loeb a crackpot? Maybe.
T...
Crackpots 2: Aliens, harvard, harvard aliens? 'Oumuamua? Planet 9? Dinosaurs?
Can physicists be physics crackpots? Of course. Is Avi Loeb a crackpot? Maybe.
The Avi Loeb criticism starts around 24:00.
Francis Perey atlantic article: https://www.theatlantic.com/science/archive/2018/11/science-full-mavericks-like-my-grandfather-was-his-physics-theory-right/574573/
https://wn.com/Harvard_Aliens_Crackpots_A_Disambiguation_Of_Avi_Loeb
Crackpots 2: Aliens, harvard, harvard aliens? 'Oumuamua? Planet 9? Dinosaurs?
Can physicists be physics crackpots? Of course. Is Avi Loeb a crackpot? Maybe.
The Avi Loeb criticism starts around 24:00.
Francis Perey atlantic article: https://www.theatlantic.com/science/archive/2018/11/science-full-mavericks-like-my-grandfather-was-his-physics-theory-right/574573/
- published: 25 Aug 2022
- views: 387548
2:24:42
ApplyAI Hands-on in NLP: Word Disambiguation and Automatic Summarization
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
https://wn.com/Applyai_Hands_On_In_Nlp_Word_Disambiguation_And_Automatic_Summarization
You can find the Google Drive folder with the notebooks here: https://drive.google.com/drive/folders/1paIso1fqasLblXgjvkzOwEns4cO81ipc
- published: 09 May 2020
- views: 1372
29:09
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021...
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
https://wn.com/Disambiguation_–_Linking_Data_Science_And_Engineering_|_Nlp_Summit_2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
- published: 07 Jan 2021
- views: 528
5:47
Entity Disambiguation and Structured Data Extraction
Access Innovations' Bob Kasenchak explains how to disambiguate duplicate named entities in data extraction and conversion in this clip from his presentation at ...
Access Innovations' Bob Kasenchak explains how to disambiguate duplicate named entities in data extraction and conversion in this clip from his presentation at Data Summit 2019.
https://wn.com/Entity_Disambiguation_And_Structured_Data_Extraction
Access Innovations' Bob Kasenchak explains how to disambiguate duplicate named entities in data extraction and conversion in this clip from his presentation at Data Summit 2019.
- published: 06 Jan 2020
- views: 292