Ted Pedersen

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Maximizing Semantic Relatedness to Perform

Ted Pedersen, Satanjeev Banerjee, Siddharth Patwardhan, 2005 .

UMLS-Interface and UMLS-Similarity : Open Source Software for Measuring Paths and Semantic Similarity

Ted Pedersen, Bridget T. McInnes, Serguei V. S. Pakhomov, 2009, AMIA.

Using SemRep to Label Semantic Relations Extracted from Clinical Text

Ying Liu, Ted Pedersen, Robert Bill, 2012, AMIA.

Duluth at SemEval-2019 Task 6: Lexical Approaches to Identify and Categorize Offensive Tweets

Ted Pedersen, Ted Pedersen, 2019, *SEMEVAL.

Word Alignment for Languages with Scarce Resources

Joel D. Martin, Ted Pedersen, Rada Mihalcea, 2005, ParallelText@ACL.

Predicting Continued Participation in Online Health Forums

Ted Pedersen, Steven Bethard, Thamar Solorio, 2015, Louhi@EMNLP.

A Statistical Decision Making Method: A Case Study on Prepositional Phrase Attachment

Ted Pedersen, Mehmet Kayaalp, Rebecca F. Bruce, 1997, CoNLL.

Ted Pedersen, Ying Liu, Bridget T. McInnes, 2012, IHI '12.

The Ngram Statistics Package (Text: : NSP) : A Flexible Tool for Identifying Ngrams, Collocations, and Word Associations

Ying Liu, Ted Pedersen, Satanjeev Banerjee, 2011, MWE@ACL.

Who's to say what's funny? A computer using Language Models and Deep Learning, That's Who! pdf

Ted Pedersen, Xinru Yan, 2017, ArXiv.

Duluth at SemEval-2017 Task 7 : Puns Upon a Midnight Dreary, Lexical Semantics for the Weak and Weary pdf

Ted Pedersen, 2017, SemEval@ACL.

Fishing for Exactness

Ted Pedersen, Ted Pedersen, 1996, ArXiv.

Using WordNet-based Context Vectors to Estimate the Semantic Relatedness of Concepts

Ted Pedersen, Siddharth Patwardhan, Ted Pedersen, 2006 .

Lexical Acquisition via Constraint Solving

Ted Pedersen, Weidong Chen, 1995, ArXiv.

UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding pdf

Ted Pedersen, Zhenduo Wang, 2018, SemEval@NAACL-HLT.

Name Discrimination and E-mail Clustering Using Unsupervised Clustering of Similar Contexts

Ted Pedersen, Anagha Kulkarni, 2008 .

Extended Gloss Overlaps as a Measure of Semantic Relatedness

Ted Pedersen, Satanjeev Banerjee, S. Banerjee, 2003, IJCAI.

Incorporating Bigram Statistics to Spelling Correction Tools

Ted Pedersen, Christopher G. Chute, Serguei V. S. Pakhomov, 2004 .

Learning High Precision Rules to Make Predictions of Morbidities in Discharge Summaries

Ted Pedersen, 2008 .

An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet

Ted Pedersen, Satanjeev Banerjee, S. Banerjee, 2002, CICLing.

A Baseline Methodology for Word Sense Disambiguation

Ted Pedersen, 2002, CICLing.

Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling

Ted Pedersen, Shuning Jin, 2018, SemEval@NAACL-HLT.

Determining the Syntactic Structure of Medical Terms in Clinical Notes

Ted Pedersen, Bridget T. McInnes, Serguei V. S. Pakhomov, 2007, BioNLP@ACL.

Assessing System Agreement and Instance Difficulty in the Lexical

Ted Pedersen, Ted Pedersen, 2002, SENSEVAL.

Duluth at SemEval-2017 Task 6: Language Models in Humor Detection pdf

Ted Pedersen, Xinru Yan, 2017, SemEval@ACL.

Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation

Ying Liu, Ted Pedersen, Bridget T. McInnes, 2011, CoNLL.

An Evaluation Exercise for Word Alignment

Ted Pedersen, Rada Mihalcea, Rada Mihalcea, 2003, ParallelTexts@NAACL-HLT.

A Comparative Study of Supervised Learning as Applied to Acronym Expansion in Clinical Reports

Ted Pedersen, Christopher G. Chute, Serguei V. S. Pakhomov, 2006, AMIA.

A New Supervised Learning Algorithm for Word Sense Disambiguation

Ted Pedersen, Rebecca F. Bruce, Ted Pedersen, 1997, AAAI/IAAI.

Offspring from Reproduction Problems: What Replication Failure Teaches Us

Antske Fokkens, Piek T. J. M. Vossen, Ted Pedersen, 2013, ACL.

Identifying Collocations to Measure Compositionality: Shared Task System Description

Ted Pedersen, 2011 .

Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation

Ted Pedersen, Saif Mohammad, Ted Pedersen, 2004, CoNLL.

Discovering identities in web contexts with unsupervised clustering

Ted Pedersen, Anagha Kulkarni, 2007 .

Sequential Model Selection for Word Sense Disambiguation

Ted Pedersen, Janyce Wiebe, Rebecca F. Bruce, 1997, ANLP.

Raw Corpus Word Sense Disambiguation

Ted Pedersen, 1998, AAAI/IAAI.

Towards a framework for developing semantic relatedness reference standards

Ted Pedersen, Christopher G. Chute, Bridget T. McInnes, 2011, J. Biomed. Informatics.

Name Discrimination by Clustering Similar Contexts

Ted Pedersen, Anagha Kulkarni, Amruta Purandare, 2005, CICLing.

Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces

Ted Pedersen, Amruta Purandare, Ted Pedersen, 2004, CoNLL.

Machine Learning with Lexical Features: The Duluth Approach to SENSEVAL-2

Ted Pedersen, 2001, SENSEVAL@ACL.

U-path: An undirected path-based measure of semantic similarity

Ying Liu, Ted Pedersen, Bridget T. McInnes, 2014, AMIA.

Ted Pedersen, Ying Liu, Bridget T. McInnes, 2013, NAACL.

A Decision Tree of Bigrams is an Accurate Predictor of Word Sense

Ted Pedersen, Ted Pedersen, 2001, NAACL.

Name Discrimination and Email Clustering using Unsupervised Clustering and Labeling of Similar Contexts

Ted Pedersen, Anagha Kulkarni, 2005, IICAI.

Distinguishing Word Senses in Untagged Text

Ted Pedersen, Rebecca F. Bruce, Ted Pedersen, 1997, EMNLP.

Dependent Bigram Identification

Ted Pedersen, 1998, AAAI/IAAI.

Maximizing Semantic Relatedness to Perform Word Sense Disambiguation

Ted Pedersen, Satanjeev Banerjee, Siddharth Patwardhan, 2005 .

UMND1: Unsupervised Word Sense Disambiguation Using Contextual Semantic Relatedness

Ted Pedersen, Satanjeev Banerjee, Siddharth Patwardhan, 2007, Fourth International Workshop on Semantic Evaluations (SemEval-2007).

Kernel Methods for Word Sense Disambiguation and Acronym Expansion

Ted Pedersen, Serguei V. S. Pakhomov, Richard Maclin, 2006, AAAI.

Duluth : Measuring Degrees of Relational Similarity with the Gloss Vector Measure of Semantic Relatedness

Ted Pedersen, 2012, SemEval@NAACL-HLT.

Ted Pedersen, Siddharth Patwardhan, Jason Michelizzi, 2004, NAACL.

Knowledge Lean Word-Sense Disambiguation

Ted Pedersen, Rebecca F. Bruce, Ted Pedersen, 1997, AAAI/IAAI.

SenseRelate: : TargetWord-A Generalized Framework for Word Sense Disambiguation

Ted Pedersen, Satanjeev Banerjee, Siddharth Patwardhan, 2005, ACL.

Computational Approaches to Measuring the Similarity of Short Contexts : A Review of Applications and Methods pdf

Ted Pedersen, 2008, ArXiv.

Duluth: Word Sense Discrimination in the Service of Lexicography

Ted Pedersen, 2015, SemEval@NAACL-HLT.

Naive Mixes for Word Sense Disambiguation

Ted Pedersen, 1997, AAAI/IAAI.

A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation

Ted Pedersen, Ted Pedersen, 2000, ANLP.

Why Do They Leave: Modeling Participation in Online Depression Forums

Ted Pedersen, Steven Bethard, Thamar Solorio, 2016, SocialNLP@EMNLP.

UMDuluth-CS8761 at SemEval-2018 Task9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings pdf

Ted Pedersen, Arshia Zernab Hassan, Manikya Swathi Vallabhajosyula, 2018, SemEval@NAACL-HLT.

Screening Twitter Users for Depression and PTSD with Lexical Decision Lists

Ted Pedersen, 2015, CLPsych@HLT-NAACL.

SenseClusters: Unsupervised Clustering and Labeling of Similar Contexts

Ted Pedersen, Anagha Kulkarni, Ted Pedersen, 2005, ACL.

Lexical Semantic Ambiguity Resolution with Bigram-Based Decision Trees

Ted Pedersen, 2001, CICLing.

An End-to-End Supervised Target-Word Sense Disambiguation System

Ted Pedersen, Christopher G. Chute, Serguei V. S. Pakhomov, 2006, AAAI.

Measuring the similarity and relatedness of concepts in the medical domain: IHI 2012 tutorial overview

Ying Liu, Ted Pedersen, Bridget T. McInnes, 2012, IHI '12.

Evaluating the Effectiveness of Ensembles of Decision Trees

Ted Pedersen, 2002, SENSEVAL.

Using Measures of Semantic Relatedness for Word Sense Disambiguation

Ted Pedersen, Satanjeev Banerjee, Siddharth Patwardhan, 2003, CICLing.

Approaching terminological ambiguity in cross-disciplinary communication as a word sense induction task: a pilot study

Ted Pedersen, Els Lefever, Julie Mennes, 2019, Lang. Resour. Evaluation.

Guaranteed Pre-tagging for the Brill Tagger

Ted Pedersen, Saif Mohammad, Ted Pedersen, 2003, CICLing.

Complementarity of lexical and simple syntactic features: The SyntaLex approach to Senseval-3

Ted Pedersen, Saif Mohammad, 2004, SENSEVAL@ACL.

SenseClusters - Finding Clusters that Represent Word Senses

Ted Pedersen, Amruta Purandare, 2004, AAAI.

Abbreviation and Acronym Disambiguation in Clinical Discourse

Ted Pedersen, Christopher G. Chute, Serguei V. S. Pakhomov, 2005, AMIA.

UMND2 : SenseClusters Applied to the Sense Induction Task of Senseval-4

Ted Pedersen, 2007, SemEval@ACL.

Analysis of Anxious Word Usage on Online Health Forums

Ted Pedersen, Steven Bethard, Arjun Mukherjee, 2016, Louhi@EMNLP.

Improving Correlation with Human Judgments by Integrating Semantic Similarity with Second–Order Vectors

Ted Pedersen, Bridget T. McInnes, Ted Pedersen, 2016, BioNLP.

Significant Lexical Relationships

Ted Pedersen, Mehmet Kayaalp, Rebecca F. Bruce, 1996, AAAI/IAAI, Vol. 1.

Ted Pedersen, Anagha Kulkarni, 2005, AAAI.

Book Review: Theoretical and Computational Approaches

Ted Pedersen, Ted Pedersen, 2004, Minds and Machines.

ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets

Ted Pedersen, Zhenduo Wang, Kevin Swanberg, 2018, SemEval@NAACL-HLT.

How Many Different "John Smiths", and Who Are They?

Ted Pedersen, Anagha Kulkarni, Ted Pedersen, 2006, AAAI.

Evaluating Semantic Relatedness and Similarity Measures with Standardized MedDRA Queries

Ying Liu, Ted Pedersen, Robert Bill, 2012, AMIA.

Unsupervised Corpus-Based Methods for WSD

Ted Pedersen, Ted Pedersen, 2007 .

Review of "Empirical methods for exploiting parallel texts" by I. Dan Melamed, Cambridge, MA: MIT Press, 2001

Ted Pedersen, 2002, Computational Linguistics.

Improving Correlation with Human Judgments by Embedding Second Order Vectors with Semantic Similarity pdf

Ted Pedersen, Bridget T. McInnes, Ted Pedersen, 2016, ArXiv.

Using semantic relatedness for word sense disambiguation

Ted Pedersen, Siddharth Patwardhan, Sandeepan Banerjee, 2002 .

Supervised and knowledge-based methods for disambiguating terms in biomedical text using the umls and metamap

Ted Pedersen, John V. Carlis, Bridget T. McInnes, 2009 .

An Unsupervised Language Independent Method of Name Discrimination Using Second Order Co-occurrence Features

Ted Pedersen, Zornitsa Kozareva, Thamar Solorio, 2006, CICLing.

Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text

Ted Pedersen, Bridget T. McInnes, Ted Pedersen, 2013, J. Biomed. Informatics.

Internet for Kids: A Beginner's Guide to Surfing the Net

Ted Pedersen, Francis Moss, 1996 .

Semi-supervised CLPsych 2016 Shared Task System Submission

Ted Pedersen, Steven Bethard, Thamar Solorio, 2016, CLPsych@HLT-NAACL.

Adam Kilgarriff's Legacy to Computational Linguistics and Beyond

Ted Pedersen, Michael Rundell, Alexander F. Gelbukh, 2016, CICLing.

Discriminating Among Word Meanings by Identifying Similar Contexts

Ted Pedersen, Amruta Purandare, 2004, AAAI.

Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas, Los Angeles, CA, USA, June 6, 2010

Ted Pedersen, Thamar Solorio, 2010, NAACL.

A Comparative Study of Support Vector Machines Applied to the Supervised Word Sense Disambiguation Problem in the Medical Domain

Ted Pedersen, Richard Maclin, Mahesh Joshi, 2005, IICAI.

The Measure of a Model

Ted Pedersen, Janyce Wiebe, Rebecca F. Bruce, 1996, EMNLP.

Duluth : Word Sense Induction Applied to Web Page Clustering

Ted Pedersen, 2013, SemEval@NAACL-HLT.

Information Content Measures of Semantic Similarity Perform Better Without Sense-Tagged Text

Ted Pedersen, Ted Pedersen, 2010, NAACL.

Empiricism Is Not a Matter of Faith

Ted Pedersen, T. Pedersen, 2008, Computational Linguistics.

Unsupervised Discrimination of Person Names in Web Contexts

Ted Pedersen, Anagha Kulkarni, Ted Pedersen, 2009, CICLing.

Using UMLS Concept Unique Identifiers (CUIs) for Word Sense Disambiguation in the Biomedical Domain

Ted Pedersen, Bridget T. McInnes, John Carlis, 2007, AMIA.

WordNet::SenseRelate::AllWords - A Broad Coverage Word Sense Tagger that Maximizes Semantic Relatedness

Ted Pedersen, Varada Kolhatkar, Ted Pedersen, 2009, NAACL.

Measures of semantic similarity and relatedness in the biomedical domain

Ted Pedersen, Siddharth Patwardhan, Christopher G. Chute, 2007, J. Biomed. Informatics.

Duluth at SemEval 2016 Task 14: Extending Gloss Overlaps to Enrich Semantic Taxonomies pdf

Ted Pedersen, 2016, SemEval@NAACL-HLT.

The effect of different context representations on word sense discrimination in biomedical texts

Ted Pedersen, 2010, IHI.

The Senseval-3 Multilingual English-Hindi lexical sample task

Ted Pedersen, Rada Mihalcea, Timothy Chklovski, 2004, SENSEVAL@ACL.

Duluth : Measuring Cross-Level Semantic Similarity with First and Second Order Dictionary Overlaps

Ted Pedersen, 2014, SemEval@COLING.

Selecting the “Right” Number of Senses Based on Clustering Criterion Functions

Ted Pedersen, Anagha Kulkarni, Ted Pedersen, 2006, EACL.

The Duluth lexical sample systems in Senseval-3

Ted Pedersen, 2004, SENSEVAL@ACL.

Evaluating semantic similarity and relatedness over the semantic grouping of clinical term pairs

Ted Pedersen, Bridget T. McInnes, Ted Pedersen, 2015, J. Biomed. Informatics.

Age and Gender Prediction on Health Forum Data

Ted Pedersen, Steven Bethard, Thamar Solorio, 2016, LREC.

Automatic Cluster Stopping with Criterion Functions and the Gap Statistic

Ted Pedersen, Anagha Kulkarni, Ted Pedersen, 2006, NAACL.

The cpan wordnet::similarity package

Ted Pedersen, Siddharth Patwardhan, Ted Pedersen, 2003 .

Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector

Ted Pedersen, Saptarshi Sengupta, 2019, SemEval@NAACL-HLT.

UMNDuluth at SemEval-2016 Task 14: WordNet's Missing Lemmas

Ted Pedersen, Jon Rusert, 2016, SemEval@NAACL-HLT.

The Duluth Word Alignment System

Ted Pedersen, Bridget T. McInnes, 2003, ParallelTexts@NAACL-HLT.

Duluth-WSI: SenseClusters Applied to the Sense Induction Task of SemEval-2

Ted Pedersen, 2010, SemEval@ACL.

Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping

Ted Pedersen, 2009, CICLing.

Appears in the Working Notes of the AAAI Spring Symposium on Representation and Acquisition of Lexical Knowledge: Polysemy, Ambiguity, and Generativity, Palo Alto, CA, March 27-29, 1995 Lexical Acquisition via Constraint Solving

Ted Pedersen, Weidong Chen, 1995 .

Cpan module wordnet::similarity

Ted Pedersen, Siddharth Patwardhan, Ted Pedersen, 2003 .

Learning Probabilistic Models of Word Sense Disambiguation pdf

Ted Pedersen, Ted Pedersen, 2007, ArXiv.

Class.3.0 : a Probabilistic Classiier Using Decomposable Models

Ted Pedersen, Ted Pedersen, 1997 .

THE LANGUAGE MUSESM SYSTEM: LINGUISTICALLY FOCUSED INSTRUCTIONAL AUTHORING

John Sabatini, Ted Pedersen, Jill Burstein, 2012 .

The "Language Muse"? System: Linguistically Focused Instructional Authoring. Research Report. ETS RR-12-21.

John Sabatini, Ted Pedersen, Jill Burstein, 2012 .