尊敬的 微信汇率:1円 ≈ 0.046166 元 支付宝汇率:1円 ≈ 0.046257元 [退出登录]
SlideShare a Scribd company logo
Unsupervised Word Sense Discrimination   By Clustering Similar Contexts Ted Pedersen University of Minnesota, Duluth http:// www.d.umn.edu/~tpederse Research Supported by National Science Foundation Faculty Early Career Development Award (#0092784)
Univ. of Minnesota, Duluth ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NLP @ UMD, Fall 2004
Alumni ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Alumni
At UMD… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overall Research Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Making Free Software Mostly Perl, All CopyLeft ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Unsupervised Word Sense Discrimination   By  Clustering Similar Contexts With Considerable Assistance From Anagha Kulkarni (M.S. 2006) Amruta Purandare (M.S. 2004)
Overview shells  exploded in a US diplomatic complex in Liberia shell  scripts are user interactive artillery guns were used to fire highly explosive  shells the biggest shop on the shore for serious  shell  collectors shell  script is a series of commands written into a file that Unix executes she sells sea  shells  by the sea shore sherry enjoys walking along the beach and collecting  shells firework  shells  exploded onto usually dark screens in a variety of colors shells  automate system administrative tasks we specialize in low priced corals, starfish and  shells we help people in identifying wonderful sea  shells  along the coastlines shop at the biggest  shell  store by the shore shell  script is much like the ms dos batch file
sherry enjoys walking along the beach and collecting  shells we specialize in low priced corals, starfish and  shells we help people in identifying wonderful sea  shells  along the coastlines shop at the biggest  shell  store by the shore she sells sea  shells  by the sea shore the biggest shop on the shore for serious  shell  collectors shell  script is much like the ms dos batch file shell  script is a series of commands written into a file that Unix executes shell  scripts are user interactive shells  automate system administrative tasks shells  exploded in a US diplomatic complex in Liberia firework  shells  exploded onto usually dark screens in a variety of colors artillery guns were used to fire highly explosive  shells
Unsupervised discrimination? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Our goal?  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Our Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object]
Feature Selection ,[object Object],[object Object],[object Object]
What Data ? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Local Training ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Surface Lexical Features ,[object Object],[object Object],[object Object]
Unigrams ,[object Object]
Bigrams ,[object Object],the <>sea on <> the sea<>shore shells<> on sea<>shells she <>sells sells<>sea Rejected Selected
Bigrams in Window ,[object Object],[object Object],[object Object],shells<>shore sea<>sea shells<>sea sells<>shells window5 Window4 Window3
Co-occurrences ,[object Object],[object Object],[object Object],[object Object]
Feature Matching ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1 st  Order Context Vectors ,[object Object],[object Object],2 0 commands 1 0 1 1 0 0 C2 0 1 0 0 2 2 C1 unix firework execute system shore sea
2 nd  Order Context Vectors ,[object Object],0 6272.85 2.9133 62.6084 20.032 1176.84 51.021 O2 context 0 18818.55 0 0 0 205.5469 134.5102 Store 0 0 0 136.0441 29.576 0 0 Shore 0 0 8.7399 51.7812 30.520 3324.98 18.5533 Sea Artillery Sales Bombs Sandy North- West Water Sells
2 nd  Order Context Vectors Context sea shore store
Measuring Similarities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Limitations 0 52.27 0 0.92 0 4.21 0 28.72 0 3.24 0 1.28 0 2.53 Weapon Missile Shoot Fire Destroy Murder Kill 17.77 0 14.6 46.2 22.1 0 34.2 19.23 2.36 0 72.7 0 1.28 2.56 Execute Command Bomb Pipe Fire CD Burn
Latent Semantic Analysis ,[object Object],[object Object],[object Object],[object Object]
Clustering ,[object Object],[object Object],[object Object],[object Object]
Evaluation  (before mapping) c1 c2 c4 c3 2 1 15 2 C4 6 1 1 2 C3 1 7 1 1 C2 2 3 0 10 C1
Evaluation  (after mapping) Accuracy=38/55=0.69 20 15 2 1 2 C4 17 1 1 0 55 11 12 15 10 6 1 2 C3 10 1 7 1 C2 15 2 3 10 C1
Majority Sense Classifier Maj. =17/55=0.31
Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experiment 1:  Features and Measures ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experiment 1: Results POS wise 29 NOUNS 28verbs 15 adjs No of words of a POS for which experiment obtained  accuracy more than Majority 8 7 3 5 7 6 MAT COS SOC UNI BI MAT COS MAT COS 0 1 0 0 1 1 9 13 5 5 6 11 SOC UNI BI SOC UNI BI
Experiment 1: Results  Feature wise SOC BI UNI 32 18 38 1 1 6 11 7 6 MAT COS N ADJ V MAT COS MAT COS 0 1 9 13 8 7 0 0 5 5 3 5 N ADJ V N ADJ V
Experiment 1: Results Measure wise COS MAT 49 39 0 5 5 1 1 13 11 7 6 BI UNI SOC N ADJ V BI UNI SOC 0 5 3 0 1 9 6 8 7 N ADJ V
Experiment 1: Conclusions ,[object Object],[object Object],[object Object]
Experiment 2:  2 nd  Order Contexts and RBR ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Schütze (2 nd  Order Contexts) Pedersen & Bruce   (1 st  Order Contexts)
Experiment 2: Sval2 Results  Bi-grams Vs Co-occurrences Bi-gram = COC 0 2 1 Bi-gram < COC 1 1 4 Bi-gram > COC 3 3 9 Bi-gram = COC 0 1 1 Bi-gram < COC 2 4 6 Bi-gram > COC 2 1 7 V A N PB1 Vs PB3 SC1 Vs SC3
Experiment 2: Sval2 Results RB Vs UPGMA RB = UPGMA 1 0 4 RB < UPGMA 0 5 2 RB > UPGMA 3 1 8 RB = UPGMA 1 2 1 RB < UPGMA 2 0 4 RB > UPGMA 1 4 9 V A N PB1 Vs PB2 SC1 Vs SC2
Experiment 2: Sval2 Results Comparing with MAJ 5 2 0 3 PB3 > MAJ 6 1 1 4 PB1 > MAJ 9 2 1 6 SC2 > MAJ 9 0 2 7 PB2 > MAJ 10 2 2 6 SC1 > MAJ 12 1 3 8 SC3 > MAJ Total V A N
Experiment 2: Results  Line, Hard, Serve (TOP 3) PB2 PB1 PB3 Serve.v SC2 PB1 PB3 Hard.a PB2 PB3 PB1 Line.n 3 rd 2 nd 1 st
Experiment 2: Conclusions 2 nd  order, RB Smaller Data (like SENSEVAL-2) 1 st  order, UPGMA Large, Homogeneous (like Line, Hard, Serve) Recommendation Nature of Data
Ongoing Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What’s this really all about? ,[object Object]
Mangled Web Search Results ,[object Object],[object Object],[object Object],[object Object],[object Object]
Software ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
CS 8761 – Fall 2004 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Each system had to have … ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Each system had to have… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Class web page, with links… ,[object Object]
Hi, from Duluth!

More Related Content

Viewers also liked

نكتة
نكتةنكتة
نكتةabeerma
 
المسامير
المساميرالمسامير
المساميرabeerma
 
Training And Certificates As of 091230
Training And Certificates As of 091230Training And Certificates As of 091230
Training And Certificates As of 091230
jjanowski
 
مقياس الاحتياجات الحج
مقياس الاحتياجات الحجمقياس الاحتياجات الحج
مقياس الاحتياجات الحجabeerma
 
Arb2011
Arb2011Arb2011
ARB General Presentation
ARB General PresentationARB General Presentation
ARB General Presentation
lawrencejansen
 
المجموعة الشمسية
المجموعة الشمسيةالمجموعة الشمسية
المجموعة الشمسية
abeerma
 
Staffing Plan for Financial Branch Manager
Staffing Plan for Financial Branch ManagerStaffing Plan for Financial Branch Manager
Staffing Plan for Financial Branch Manager
eilanan
 
إعداد درس في اللغة العربية
إعداد درس في اللغة العربيةإعداد درس في اللغة العربية
إعداد درس في اللغة العربيةabeerma
 
Project milestones-and-budgeting
Project milestones-and-budgetingProject milestones-and-budgeting
Project milestones-and-budgeting
Peter Florijn
 

Viewers also liked (10)

نكتة
نكتةنكتة
نكتة
 
المسامير
المساميرالمسامير
المسامير
 
Training And Certificates As of 091230
Training And Certificates As of 091230Training And Certificates As of 091230
Training And Certificates As of 091230
 
مقياس الاحتياجات الحج
مقياس الاحتياجات الحجمقياس الاحتياجات الحج
مقياس الاحتياجات الحج
 
Arb2011
Arb2011Arb2011
Arb2011
 
ARB General Presentation
ARB General PresentationARB General Presentation
ARB General Presentation
 
المجموعة الشمسية
المجموعة الشمسيةالمجموعة الشمسية
المجموعة الشمسية
 
Staffing Plan for Financial Branch Manager
Staffing Plan for Financial Branch ManagerStaffing Plan for Financial Branch Manager
Staffing Plan for Financial Branch Manager
 
إعداد درس في اللغة العربية
إعداد درس في اللغة العربيةإعداد درس في اللغة العربية
إعداد درس في اللغة العربية
 
Project milestones-and-budgeting
Project milestones-and-budgetingProject milestones-and-budgeting
Project milestones-and-budgeting
 

Similar to Ets Jan2005

digital-sat-practice-test-2.pdf digital-sat-practice-test-2
digital-sat-practice-test-2.pdf digital-sat-practice-test-2digital-sat-practice-test-2.pdf digital-sat-practice-test-2
digital-sat-practice-test-2.pdf digital-sat-practice-test-2
RickJonshon
 
Argumentive Essays. Online assignment writing service.
Argumentive Essays. Online assignment writing service.Argumentive Essays. Online assignment writing service.
Argumentive Essays. Online assignment writing service.
Sonya Johnson
 
Essential Biology E3 Innate and Learned Behaviour
Essential Biology E3 Innate and Learned BehaviourEssential Biology E3 Innate and Learned Behaviour
Essential Biology E3 Innate and Learned Behaviour
Stephen Taylor
 
Cellana Ornata
Cellana OrnataCellana Ornata
Cellana Ornata
Theresa Singh
 
Cellana Ornata
Cellana OrnataCellana Ornata
Cellana Ornata
April Charlton
 
9212018 Topic Discussion for Ch3 Are We There Yetht.docx
9212018 Topic Discussion for Ch3 Are We There Yetht.docx9212018 Topic Discussion for Ch3 Are We There Yetht.docx
9212018 Topic Discussion for Ch3 Are We There Yetht.docx
sleeperharwell
 
Eacl 2006 Pedersen
Eacl 2006 PedersenEacl 2006 Pedersen
Icon 2007 Pedersen
Icon 2007 PedersenIcon 2007 Pedersen
Eng121 Week 3 Assignment Personal Essay Latest By Sc
Eng121 Week 3 Assignment Personal Essay Latest By ScEng121 Week 3 Assignment Personal Essay Latest By Sc
Eng121 Week 3 Assignment Personal Essay Latest By Sc
Sunshine Blackburn
 
math homework1.2.1.png__MACOSXmath homework._1.2.1.png.docx
math homework1.2.1.png__MACOSXmath homework._1.2.1.png.docxmath homework1.2.1.png__MACOSXmath homework._1.2.1.png.docx
math homework1.2.1.png__MACOSXmath homework._1.2.1.png.docx
andreecapon
 
Reading Street
Reading StreetReading Street
Reading Street
cavalcic
 
Making Decisions Essay. Decision making. Decision Making Tips for Teens
Making Decisions Essay. Decision making. Decision Making Tips for TeensMaking Decisions Essay. Decision making. Decision Making Tips for Teens
Making Decisions Essay. Decision making. Decision Making Tips for Teens
Amanda Stephens
 
Student Informative Essa
Student Informative EssaStudent Informative Essa
Student Informative Essa
Patty Buckley
 
Swells, Soundings, and Sustainability in the Oceans
Swells, Soundings, and Sustainability  in the OceansSwells, Soundings, and Sustainability  in the Oceans
Swells, Soundings, and Sustainability in the Oceans
Dawn Wright
 
College Essay Rubric Template Telegraph
College Essay Rubric Template TelegraphCollege Essay Rubric Template Telegraph
College Essay Rubric Template Telegraph
Kimberly Berger
 
An analysis of grammatical cohesion used in The call of the wild" by Jack Lon...
An analysis of grammatical cohesion used in The call of the wild" by Jack Lon...An analysis of grammatical cohesion used in The call of the wild" by Jack Lon...
An analysis of grammatical cohesion used in The call of the wild" by Jack Lon...
nataliej4
 
1.4.12 classwork wednesday
1.4.12 classwork   wednesday1.4.12 classwork   wednesday
1.4.12 classwork wednesday
mrlafrossia
 
Eurolan 2005 Pedersen
Eurolan 2005 PedersenEurolan 2005 Pedersen
Eurolan 2005 Pedersen
University of Minnesota, Duluth
 
Presentation
PresentationPresentation
Presentation
Ashleigh Thomson
 
Sa
SaSa

Similar to Ets Jan2005 (20)

digital-sat-practice-test-2.pdf digital-sat-practice-test-2
digital-sat-practice-test-2.pdf digital-sat-practice-test-2digital-sat-practice-test-2.pdf digital-sat-practice-test-2
digital-sat-practice-test-2.pdf digital-sat-practice-test-2
 
Argumentive Essays. Online assignment writing service.
Argumentive Essays. Online assignment writing service.Argumentive Essays. Online assignment writing service.
Argumentive Essays. Online assignment writing service.
 
Essential Biology E3 Innate and Learned Behaviour
Essential Biology E3 Innate and Learned BehaviourEssential Biology E3 Innate and Learned Behaviour
Essential Biology E3 Innate and Learned Behaviour
 
Cellana Ornata
Cellana OrnataCellana Ornata
Cellana Ornata
 
Cellana Ornata
Cellana OrnataCellana Ornata
Cellana Ornata
 
9212018 Topic Discussion for Ch3 Are We There Yetht.docx
9212018 Topic Discussion for Ch3 Are We There Yetht.docx9212018 Topic Discussion for Ch3 Are We There Yetht.docx
9212018 Topic Discussion for Ch3 Are We There Yetht.docx
 
Eacl 2006 Pedersen
Eacl 2006 PedersenEacl 2006 Pedersen
Eacl 2006 Pedersen
 
Icon 2007 Pedersen
Icon 2007 PedersenIcon 2007 Pedersen
Icon 2007 Pedersen
 
Eng121 Week 3 Assignment Personal Essay Latest By Sc
Eng121 Week 3 Assignment Personal Essay Latest By ScEng121 Week 3 Assignment Personal Essay Latest By Sc
Eng121 Week 3 Assignment Personal Essay Latest By Sc
 
math homework1.2.1.png__MACOSXmath homework._1.2.1.png.docx
math homework1.2.1.png__MACOSXmath homework._1.2.1.png.docxmath homework1.2.1.png__MACOSXmath homework._1.2.1.png.docx
math homework1.2.1.png__MACOSXmath homework._1.2.1.png.docx
 
Reading Street
Reading StreetReading Street
Reading Street
 
Making Decisions Essay. Decision making. Decision Making Tips for Teens
Making Decisions Essay. Decision making. Decision Making Tips for TeensMaking Decisions Essay. Decision making. Decision Making Tips for Teens
Making Decisions Essay. Decision making. Decision Making Tips for Teens
 
Student Informative Essa
Student Informative EssaStudent Informative Essa
Student Informative Essa
 
Swells, Soundings, and Sustainability in the Oceans
Swells, Soundings, and Sustainability  in the OceansSwells, Soundings, and Sustainability  in the Oceans
Swells, Soundings, and Sustainability in the Oceans
 
College Essay Rubric Template Telegraph
College Essay Rubric Template TelegraphCollege Essay Rubric Template Telegraph
College Essay Rubric Template Telegraph
 
An analysis of grammatical cohesion used in The call of the wild" by Jack Lon...
An analysis of grammatical cohesion used in The call of the wild" by Jack Lon...An analysis of grammatical cohesion used in The call of the wild" by Jack Lon...
An analysis of grammatical cohesion used in The call of the wild" by Jack Lon...
 
1.4.12 classwork wednesday
1.4.12 classwork   wednesday1.4.12 classwork   wednesday
1.4.12 classwork wednesday
 
Eurolan 2005 Pedersen
Eurolan 2005 PedersenEurolan 2005 Pedersen
Eurolan 2005 Pedersen
 
Presentation
PresentationPresentation
Presentation
 
Sa
SaSa
Sa
 

More from University of Minnesota, Duluth

Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...
Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...
Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...
University of Minnesota, Duluth
 
Automatically Identifying Islamophobia in Social Media
Automatically Identifying Islamophobia in Social MediaAutomatically Identifying Islamophobia in Social Media
Automatically Identifying Islamophobia in Social Media
University of Minnesota, Duluth
 
What Makes Hate Speech : an interactive workshop
What Makes Hate Speech : an interactive workshopWhat Makes Hate Speech : an interactive workshop
What Makes Hate Speech : an interactive workshop
University of Minnesota, Duluth
 
Algorithmic Bias - What is it? Why should we care? What can we do about it?
Algorithmic Bias - What is it? Why should we care? What can we do about it? Algorithmic Bias - What is it? Why should we care? What can we do about it?
Algorithmic Bias - What is it? Why should we care? What can we do about it?
University of Minnesota, Duluth
 
Algorithmic Bias : What is it? Why should we care? What can we do about it?
Algorithmic Bias : What is it? Why should we care? What can we do about it?Algorithmic Bias : What is it? Why should we care? What can we do about it?
Algorithmic Bias : What is it? Why should we care? What can we do about it?
University of Minnesota, Duluth
 
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection
University of Minnesota, Duluth
 
Who's to say what's funny? A computer using Language Models and Deep Learning...
Who's to say what's funny? A computer using Language Models and Deep Learning...Who's to say what's funny? A computer using Language Models and Deep Learning...
Who's to say what's funny? A computer using Language Models and Deep Learning...
University of Minnesota, Duluth
 
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...
University of Minnesota, Duluth
 
Puns upon a midnight dreary, lexical semantics for the weak and weary
Puns upon a midnight dreary, lexical semantics for the weak and wearyPuns upon a midnight dreary, lexical semantics for the weak and weary
Puns upon a midnight dreary, lexical semantics for the weak and weary
University of Minnesota, Duluth
 
The horizon isn't found in a dictionary : Identifying emerging word senses a...
The horizon isn't found in a  dictionary : Identifying emerging word senses a...The horizon isn't found in a  dictionary : Identifying emerging word senses a...
The horizon isn't found in a dictionary : Identifying emerging word senses a...
University of Minnesota, Duluth
 
Screening Twitter Users for Depression and PTSD
Screening Twitter Users for Depression and PTSDScreening Twitter Users for Depression and PTSD
Screening Twitter Users for Depression and PTSD
University of Minnesota, Duluth
 
Pedersen masters-thesis-oct-10-2014
Pedersen masters-thesis-oct-10-2014Pedersen masters-thesis-oct-10-2014
Pedersen masters-thesis-oct-10-2014
University of Minnesota, Duluth
 
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...
University of Minnesota, Duluth
 
What it's like to do a Master's thesis with me (Ted Pedersen)
What it's like to do a Master's thesis with me (Ted Pedersen)What it's like to do a Master's thesis with me (Ted Pedersen)
What it's like to do a Master's thesis with me (Ted Pedersen)
University of Minnesota, Duluth
 
Pedersen naacl-2013-demo-poster-may25
Pedersen naacl-2013-demo-poster-may25Pedersen naacl-2013-demo-poster-may25
Pedersen naacl-2013-demo-poster-may25
University of Minnesota, Duluth
 
Pedersen semeval-2013-poster-may24
Pedersen semeval-2013-poster-may24Pedersen semeval-2013-poster-may24
Pedersen semeval-2013-poster-may24
University of Minnesota, Duluth
 
Talk at UAB, April 12, 2013
Talk at UAB, April 12, 2013Talk at UAB, April 12, 2013
Talk at UAB, April 12, 2013
University of Minnesota, Duluth
 
Feb20 mayo-webinar-21feb2012
Feb20 mayo-webinar-21feb2012Feb20 mayo-webinar-21feb2012
Feb20 mayo-webinar-21feb2012
University of Minnesota, Duluth
 
Ihi2012 semantic-similarity-tutorial-part1
Ihi2012 semantic-similarity-tutorial-part1Ihi2012 semantic-similarity-tutorial-part1
Ihi2012 semantic-similarity-tutorial-part1
University of Minnesota, Duluth
 
Pedersen ACL Disco-2011 workshop
Pedersen ACL Disco-2011 workshopPedersen ACL Disco-2011 workshop
Pedersen ACL Disco-2011 workshop
University of Minnesota, Duluth
 

More from University of Minnesota, Duluth (20)

Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...
Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...
Muslims in Machine Learning workshop (NeurlPS 2021) - Automatically Identifyi...
 
Automatically Identifying Islamophobia in Social Media
Automatically Identifying Islamophobia in Social MediaAutomatically Identifying Islamophobia in Social Media
Automatically Identifying Islamophobia in Social Media
 
What Makes Hate Speech : an interactive workshop
What Makes Hate Speech : an interactive workshopWhat Makes Hate Speech : an interactive workshop
What Makes Hate Speech : an interactive workshop
 
Algorithmic Bias - What is it? Why should we care? What can we do about it?
Algorithmic Bias - What is it? Why should we care? What can we do about it? Algorithmic Bias - What is it? Why should we care? What can we do about it?
Algorithmic Bias - What is it? Why should we care? What can we do about it?
 
Algorithmic Bias : What is it? Why should we care? What can we do about it?
Algorithmic Bias : What is it? Why should we care? What can we do about it?Algorithmic Bias : What is it? Why should we care? What can we do about it?
Algorithmic Bias : What is it? Why should we care? What can we do about it?
 
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection
Duluth at Semeval 2017 Task 6 - Language Models in Humor Detection
 
Who's to say what's funny? A computer using Language Models and Deep Learning...
Who's to say what's funny? A computer using Language Models and Deep Learning...Who's to say what's funny? A computer using Language Models and Deep Learning...
Who's to say what's funny? A computer using Language Models and Deep Learning...
 
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...
Duluth at Semeval 2017 Task 7 - Puns upon a Midnight Dreary, Lexical Semantic...
 
Puns upon a midnight dreary, lexical semantics for the weak and weary
Puns upon a midnight dreary, lexical semantics for the weak and wearyPuns upon a midnight dreary, lexical semantics for the weak and weary
Puns upon a midnight dreary, lexical semantics for the weak and weary
 
The horizon isn't found in a dictionary : Identifying emerging word senses a...
The horizon isn't found in a  dictionary : Identifying emerging word senses a...The horizon isn't found in a  dictionary : Identifying emerging word senses a...
The horizon isn't found in a dictionary : Identifying emerging word senses a...
 
Screening Twitter Users for Depression and PTSD
Screening Twitter Users for Depression and PTSDScreening Twitter Users for Depression and PTSD
Screening Twitter Users for Depression and PTSD
 
Pedersen masters-thesis-oct-10-2014
Pedersen masters-thesis-oct-10-2014Pedersen masters-thesis-oct-10-2014
Pedersen masters-thesis-oct-10-2014
 
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...
MICAI 2013 Tutorial Slides - Measuring the Similarity and Relatedness of Conc...
 
What it's like to do a Master's thesis with me (Ted Pedersen)
What it's like to do a Master's thesis with me (Ted Pedersen)What it's like to do a Master's thesis with me (Ted Pedersen)
What it's like to do a Master's thesis with me (Ted Pedersen)
 
Pedersen naacl-2013-demo-poster-may25
Pedersen naacl-2013-demo-poster-may25Pedersen naacl-2013-demo-poster-may25
Pedersen naacl-2013-demo-poster-may25
 
Pedersen semeval-2013-poster-may24
Pedersen semeval-2013-poster-may24Pedersen semeval-2013-poster-may24
Pedersen semeval-2013-poster-may24
 
Talk at UAB, April 12, 2013
Talk at UAB, April 12, 2013Talk at UAB, April 12, 2013
Talk at UAB, April 12, 2013
 
Feb20 mayo-webinar-21feb2012
Feb20 mayo-webinar-21feb2012Feb20 mayo-webinar-21feb2012
Feb20 mayo-webinar-21feb2012
 
Ihi2012 semantic-similarity-tutorial-part1
Ihi2012 semantic-similarity-tutorial-part1Ihi2012 semantic-similarity-tutorial-part1
Ihi2012 semantic-similarity-tutorial-part1
 
Pedersen ACL Disco-2011 workshop
Pedersen ACL Disco-2011 workshopPedersen ACL Disco-2011 workshop
Pedersen ACL Disco-2011 workshop
 

Recently uploaded

Call Girls Kochi 💯Call Us 🔝 7426014248 🔝 Independent Kochi Escorts Service Av...
Call Girls Kochi 💯Call Us 🔝 7426014248 🔝 Independent Kochi Escorts Service Av...Call Girls Kochi 💯Call Us 🔝 7426014248 🔝 Independent Kochi Escorts Service Av...
Call Girls Kochi 💯Call Us 🔝 7426014248 🔝 Independent Kochi Escorts Service Av...
dipikamodels1
 
MongoDB to ScyllaDB: Technical Comparison and the Path to Success
MongoDB to ScyllaDB: Technical Comparison and the Path to SuccessMongoDB to ScyllaDB: Technical Comparison and the Path to Success
MongoDB to ScyllaDB: Technical Comparison and the Path to Success
ScyllaDB
 
Cyber Recovery Wargame
Cyber Recovery WargameCyber Recovery Wargame
Cyber Recovery Wargame
Databarracks
 
APJC Introduction to ThousandEyes Webinar
APJC Introduction to ThousandEyes WebinarAPJC Introduction to ThousandEyes Webinar
APJC Introduction to ThousandEyes Webinar
ThousandEyes
 
ThousandEyes New Product Features and Release Highlights: June 2024
ThousandEyes New Product Features and Release Highlights: June 2024ThousandEyes New Product Features and Release Highlights: June 2024
ThousandEyes New Product Features and Release Highlights: June 2024
ThousandEyes
 
Day 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio FundamentalsDay 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio Fundamentals
UiPathCommunity
 
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through StorytellingDemystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
Enterprise Knowledge
 
ScyllaDB Real-Time Event Processing with CDC
ScyllaDB Real-Time Event Processing with CDCScyllaDB Real-Time Event Processing with CDC
ScyllaDB Real-Time Event Processing with CDC
ScyllaDB
 
So You've Lost Quorum: Lessons From Accidental Downtime
So You've Lost Quorum: Lessons From Accidental DowntimeSo You've Lost Quorum: Lessons From Accidental Downtime
So You've Lost Quorum: Lessons From Accidental Downtime
ScyllaDB
 
MongoDB vs ScyllaDB: Tractian’s Experience with Real-Time ML
MongoDB vs ScyllaDB: Tractian’s Experience with Real-Time MLMongoDB vs ScyllaDB: Tractian’s Experience with Real-Time ML
MongoDB vs ScyllaDB: Tractian’s Experience with Real-Time ML
ScyllaDB
 
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving
 
CNSCon 2024 Lightning Talk: Don’t Make Me Impersonate My Identity
CNSCon 2024 Lightning Talk: Don’t Make Me Impersonate My IdentityCNSCon 2024 Lightning Talk: Don’t Make Me Impersonate My Identity
CNSCon 2024 Lightning Talk: Don’t Make Me Impersonate My Identity
Cynthia Thomas
 
DynamoDB to ScyllaDB: Technical Comparison and the Path to Success
DynamoDB to ScyllaDB: Technical Comparison and the Path to SuccessDynamoDB to ScyllaDB: Technical Comparison and the Path to Success
DynamoDB to ScyllaDB: Technical Comparison and the Path to Success
ScyllaDB
 
TrustArc Webinar - Your Guide for Smooth Cross-Border Data Transfers and Glob...
TrustArc Webinar - Your Guide for Smooth Cross-Border Data Transfers and Glob...TrustArc Webinar - Your Guide for Smooth Cross-Border Data Transfers and Glob...
TrustArc Webinar - Your Guide for Smooth Cross-Border Data Transfers and Glob...
TrustArc
 
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...
manji sharman06
 
Call Girls Chennai ☎️ +91-7426014248 😍 Chennai Call Girl Beauty Girls Chennai...
Call Girls Chennai ☎️ +91-7426014248 😍 Chennai Call Girl Beauty Girls Chennai...Call Girls Chennai ☎️ +91-7426014248 😍 Chennai Call Girl Beauty Girls Chennai...
Call Girls Chennai ☎️ +91-7426014248 😍 Chennai Call Girl Beauty Girls Chennai...
anilsa9823
 
Must Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during MigrationMust Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during Migration
Mydbops
 
Real-Time Persisted Events at Supercell
Real-Time Persisted Events at  SupercellReal-Time Persisted Events at  Supercell
Real-Time Persisted Events at Supercell
ScyllaDB
 
Guidelines for Effective Data Visualization
Guidelines for Effective Data VisualizationGuidelines for Effective Data Visualization
Guidelines for Effective Data Visualization
UmmeSalmaM1
 
From NCSA to the National Research Platform
From NCSA to the National Research PlatformFrom NCSA to the National Research Platform
From NCSA to the National Research Platform
Larry Smarr
 

Recently uploaded (20)

Call Girls Kochi 💯Call Us 🔝 7426014248 🔝 Independent Kochi Escorts Service Av...
Call Girls Kochi 💯Call Us 🔝 7426014248 🔝 Independent Kochi Escorts Service Av...Call Girls Kochi 💯Call Us 🔝 7426014248 🔝 Independent Kochi Escorts Service Av...
Call Girls Kochi 💯Call Us 🔝 7426014248 🔝 Independent Kochi Escorts Service Av...
 
MongoDB to ScyllaDB: Technical Comparison and the Path to Success
MongoDB to ScyllaDB: Technical Comparison and the Path to SuccessMongoDB to ScyllaDB: Technical Comparison and the Path to Success
MongoDB to ScyllaDB: Technical Comparison and the Path to Success
 
Cyber Recovery Wargame
Cyber Recovery WargameCyber Recovery Wargame
Cyber Recovery Wargame
 
APJC Introduction to ThousandEyes Webinar
APJC Introduction to ThousandEyes WebinarAPJC Introduction to ThousandEyes Webinar
APJC Introduction to ThousandEyes Webinar
 
ThousandEyes New Product Features and Release Highlights: June 2024
ThousandEyes New Product Features and Release Highlights: June 2024ThousandEyes New Product Features and Release Highlights: June 2024
ThousandEyes New Product Features and Release Highlights: June 2024
 
Day 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio FundamentalsDay 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio Fundamentals
 
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through StorytellingDemystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
 
ScyllaDB Real-Time Event Processing with CDC
ScyllaDB Real-Time Event Processing with CDCScyllaDB Real-Time Event Processing with CDC
ScyllaDB Real-Time Event Processing with CDC
 
So You've Lost Quorum: Lessons From Accidental Downtime
So You've Lost Quorum: Lessons From Accidental DowntimeSo You've Lost Quorum: Lessons From Accidental Downtime
So You've Lost Quorum: Lessons From Accidental Downtime
 
MongoDB vs ScyllaDB: Tractian’s Experience with Real-Time ML
MongoDB vs ScyllaDB: Tractian’s Experience with Real-Time MLMongoDB vs ScyllaDB: Tractian’s Experience with Real-Time ML
MongoDB vs ScyllaDB: Tractian’s Experience with Real-Time ML
 
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
 
CNSCon 2024 Lightning Talk: Don’t Make Me Impersonate My Identity
CNSCon 2024 Lightning Talk: Don’t Make Me Impersonate My IdentityCNSCon 2024 Lightning Talk: Don’t Make Me Impersonate My Identity
CNSCon 2024 Lightning Talk: Don’t Make Me Impersonate My Identity
 
DynamoDB to ScyllaDB: Technical Comparison and the Path to Success
DynamoDB to ScyllaDB: Technical Comparison and the Path to SuccessDynamoDB to ScyllaDB: Technical Comparison and the Path to Success
DynamoDB to ScyllaDB: Technical Comparison and the Path to Success
 
TrustArc Webinar - Your Guide for Smooth Cross-Border Data Transfers and Glob...
TrustArc Webinar - Your Guide for Smooth Cross-Border Data Transfers and Glob...TrustArc Webinar - Your Guide for Smooth Cross-Border Data Transfers and Glob...
TrustArc Webinar - Your Guide for Smooth Cross-Border Data Transfers and Glob...
 
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...
 
Call Girls Chennai ☎️ +91-7426014248 😍 Chennai Call Girl Beauty Girls Chennai...
Call Girls Chennai ☎️ +91-7426014248 😍 Chennai Call Girl Beauty Girls Chennai...Call Girls Chennai ☎️ +91-7426014248 😍 Chennai Call Girl Beauty Girls Chennai...
Call Girls Chennai ☎️ +91-7426014248 😍 Chennai Call Girl Beauty Girls Chennai...
 
Must Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during MigrationMust Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during Migration
 
Real-Time Persisted Events at Supercell
Real-Time Persisted Events at  SupercellReal-Time Persisted Events at  Supercell
Real-Time Persisted Events at Supercell
 
Guidelines for Effective Data Visualization
Guidelines for Effective Data VisualizationGuidelines for Effective Data Visualization
Guidelines for Effective Data Visualization
 
From NCSA to the National Research Platform
From NCSA to the National Research PlatformFrom NCSA to the National Research Platform
From NCSA to the National Research Platform
 

Ets Jan2005

  • 1. Unsupervised Word Sense Discrimination By Clustering Similar Contexts Ted Pedersen University of Minnesota, Duluth http:// www.d.umn.edu/~tpederse Research Supported by National Science Foundation Faculty Early Career Development Award (#0092784)
  • 2.
  • 3. NLP @ UMD, Fall 2004
  • 4.
  • 6.
  • 7.
  • 8.
  • 9. Unsupervised Word Sense Discrimination By Clustering Similar Contexts With Considerable Assistance From Anagha Kulkarni (M.S. 2006) Amruta Purandare (M.S. 2004)
  • 10. Overview shells exploded in a US diplomatic complex in Liberia shell scripts are user interactive artillery guns were used to fire highly explosive shells the biggest shop on the shore for serious shell collectors shell script is a series of commands written into a file that Unix executes she sells sea shells by the sea shore sherry enjoys walking along the beach and collecting shells firework shells exploded onto usually dark screens in a variety of colors shells automate system administrative tasks we specialize in low priced corals, starfish and shells we help people in identifying wonderful sea shells along the coastlines shop at the biggest shell store by the shore shell script is much like the ms dos batch file
  • 11. sherry enjoys walking along the beach and collecting shells we specialize in low priced corals, starfish and shells we help people in identifying wonderful sea shells along the coastlines shop at the biggest shell store by the shore she sells sea shells by the sea shore the biggest shop on the shore for serious shell collectors shell script is much like the ms dos batch file shell script is a series of commands written into a file that Unix executes shell scripts are user interactive shells automate system administrative tasks shells exploded in a US diplomatic complex in Liberia firework shells exploded onto usually dark screens in a variety of colors artillery guns were used to fire highly explosive shells
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27. 2 nd Order Context Vectors Context sea shore store
  • 28.
  • 29. Limitations 0 52.27 0 0.92 0 4.21 0 28.72 0 3.24 0 1.28 0 2.53 Weapon Missile Shoot Fire Destroy Murder Kill 17.77 0 14.6 46.2 22.1 0 34.2 19.23 2.36 0 72.7 0 1.28 2.56 Execute Command Bomb Pipe Fire CD Burn
  • 30.
  • 31.
  • 32. Evaluation (before mapping) c1 c2 c4 c3 2 1 15 2 C4 6 1 1 2 C3 1 7 1 1 C2 2 3 0 10 C1
  • 33. Evaluation (after mapping) Accuracy=38/55=0.69 20 15 2 1 2 C4 17 1 1 0 55 11 12 15 10 6 1 2 C3 10 1 7 1 C2 15 2 3 10 C1
  • 34. Majority Sense Classifier Maj. =17/55=0.31
  • 35.
  • 36.
  • 37. Experiment 1: Results POS wise 29 NOUNS 28verbs 15 adjs No of words of a POS for which experiment obtained accuracy more than Majority 8 7 3 5 7 6 MAT COS SOC UNI BI MAT COS MAT COS 0 1 0 0 1 1 9 13 5 5 6 11 SOC UNI BI SOC UNI BI
  • 38. Experiment 1: Results Feature wise SOC BI UNI 32 18 38 1 1 6 11 7 6 MAT COS N ADJ V MAT COS MAT COS 0 1 9 13 8 7 0 0 5 5 3 5 N ADJ V N ADJ V
  • 39. Experiment 1: Results Measure wise COS MAT 49 39 0 5 5 1 1 13 11 7 6 BI UNI SOC N ADJ V BI UNI SOC 0 5 3 0 1 9 6 8 7 N ADJ V
  • 40.
  • 41.
  • 42. Experiment 2: Sval2 Results Bi-grams Vs Co-occurrences Bi-gram = COC 0 2 1 Bi-gram < COC 1 1 4 Bi-gram > COC 3 3 9 Bi-gram = COC 0 1 1 Bi-gram < COC 2 4 6 Bi-gram > COC 2 1 7 V A N PB1 Vs PB3 SC1 Vs SC3
  • 43. Experiment 2: Sval2 Results RB Vs UPGMA RB = UPGMA 1 0 4 RB < UPGMA 0 5 2 RB > UPGMA 3 1 8 RB = UPGMA 1 2 1 RB < UPGMA 2 0 4 RB > UPGMA 1 4 9 V A N PB1 Vs PB2 SC1 Vs SC2
  • 44. Experiment 2: Sval2 Results Comparing with MAJ 5 2 0 3 PB3 > MAJ 6 1 1 4 PB1 > MAJ 9 2 1 6 SC2 > MAJ 9 0 2 7 PB2 > MAJ 10 2 2 6 SC1 > MAJ 12 1 3 8 SC3 > MAJ Total V A N
  • 45. Experiment 2: Results Line, Hard, Serve (TOP 3) PB2 PB1 PB3 Serve.v SC2 PB1 PB3 Hard.a PB2 PB3 PB1 Line.n 3 rd 2 nd 1 st
  • 46. Experiment 2: Conclusions 2 nd order, RB Smaller Data (like SENSEVAL-2) 1 st order, UPGMA Large, Homogeneous (like Line, Hard, Serve) Recommendation Nature of Data
  • 47.
  • 48.
  • 49.
  • 50.
  • 51.
  • 52.
  • 53.
  • 54.
  翻译: