Popular Co-Authors
Thamar Solorio (6)
Steven Bethard (4)
Rada Mihalcea (4)
Farig Sadeque (4)
Anagha Kulkarni (4)
Bridget McInnes (4)
Prasha Shrestha (4)
Rebecca Bruce (3)
Venues
WS (27)
*SEMEVAL (19)
NAACL (8)
HLT (6)
CONLL (4)
ACL (4)
ANLP (2)
EMNLP (2)
Ted Pedersen
2018
UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel
Convolutional Neural Network on Subword Embedding
[S18-1060]:
Zhenduo Wang
|
Ted Pedersen
Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with
Ensemble Learning and Oversampling
[S18-1077]:
Shuning Jin
|
Ted Pedersen
ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony
Detection in English Tweets
[S18-1082]:
Kevin Swanberg
|
Madiha Mirza
|
Ted Pedersen
|
Zhenduo Wang
UMDuluth-CS8761 at SemEval-2018 Task9: Hypernym Discovery using Hearst
Patterns, Co-occurrence frequencies and Word Embeddings
[S18-1149]:
Arshia Zernab Hassan
|
Manikya Swathi Vallabhajosyula
|
Ted Pedersen
2017
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection
[S17-2064]:
Xinru Yan
|
Ted Pedersen
Duluth at SemEval-2017 Task 7 : Puns Upon a Midnight Dreary, Lexical
Semantics for the Weak and Weary
[S17-2070]:
Ted Pedersen
Improving Correlation with Human Judgments by Integrating Semantic
Similarity with Second–Order Vectors
[W17-2313]:
Bridget McInnes
|
Ted Pedersen
2016
Semi-supervised CLPsych 2016 Shared Task System Submission
[W16-0322]:
Nicolas Rey-Villamizar
|
Prasha Shrestha
|
Thamar Solorio
|
Farig Sadeque
|
Steven Bethard
|
Ted Pedersen
Analysis of Anxious Word Usage on Online Health Forums
[W16-6105]:
Nicolas Rey-Villamizar
|
Prasha Shrestha
|
Farig Sadeque
|
Steven Bethard
|
Ted Pedersen
|
Arjun Mukherjee
|
Thamar Solorio
Why Do They Leave: Modeling Participation in Online Depression Forums
[W16-6203]:
Farig Sadeque
|
Ted Pedersen
|
Thamar Solorio
|
Prasha Shrestha
|
Nicolas Rey-Villamizar
|
Steven Bethard
Duluth at SemEval 2016 Task 14: Extending Gloss Overlaps to Enrich
Semantic Taxonomies
[S16-1207]:
Ted Pedersen
UMNDuluth at SemEval-2016 Task 14: WordNet's Missing Lemmas
[S16-1211]:
Jon Rusert
|
Ted Pedersen
2015
Screening Twitter Users for Depression and PTSD with Lexical Decision Lists
[W15-1206]:
Ted Pedersen
Predicting Continued Participation in Online Health Forums
[W15-2602]:
Farig Sadeque
|
Thamar Solorio
|
Ted Pedersen
|
Prasha Shrestha
|
Steven Bethard
Duluth: Word Sense Discrimination in the Service of Lexicography
[S15-2076]:
Ted Pedersen
2014
Duluth : Measuring Cross-Level Semantic Similarity with First and Second
Order Dictionary Overlaps
[S14-2040]:
Ted Pedersen
2013
Duluth : Word Sense Induction Applied to Web Page Clustering
[S13-2036]:
Ted Pedersen
UMLS::Similarity: Measuring the Relatedness and Similarity of Biomedical Concepts
[N13-3007]:
Bridget McInnes
|
Ted Pedersen
|
Serguei Pakhomov
|
Ying Liu
|
Genevieve Melton-Meaux
Offspring from Reproduction Problems: What Replication Failure Teaches Us
[P13-1166]:
Antske Fokkens
|
Marieke van Erp
|
Marten Postma
|
Ted Pedersen
|
Piek Vossen
|
Nuno Freire
2012
Duluth : Measuring Degrees of Relational Similarity with the Gloss Vector Measure of Semantic Relatedness
[S12-1070]:
Ted Pedersen
2011
Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation
[W11-0317]:
Bridget T. McInnes
|
Ted Pedersen
|
Ying Liu
|
Serguei V. Pakhomov
|
Genevieve B. Melton
The Ngram Statistics Package (Text::NSP) : A Flexible Tool for Identifying Ngrams, Collocations, and Word Associations
[W11-0821]:
Ted Pedersen
|
Satanjeev Banerjee
|
Bridget McInnes
|
Saiyam Kohli
|
Mahesh Joshi
|
Ying Liu
Identifying Collocations to Measure Compositionality: Shared Task System Description
[W11-1306]:
Ted Pedersen
2010
Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas
[W10-1600]:
Thamar Solorio
|
Ted Pedersen
Duluth-WSI: SenseClusters Applied to the Sense Induction Task of SemEval-2
[S10-1081]:
Ted Pedersen
Information Content Measures of Semantic Similarity Perform Better Without Sense-Tagged Text
[N10-1047]:
Ted Pedersen
2009
WordNet::SenseRelate::AllWords - A Broad Coverage Word Sense Tagger that Maximizes Semantic Relatedness
[N09-5005]:
Ted Pedersen
|
Varada Kolhatkar
2008
Last Words: Empiricism Is Not a Matter of Faith
[J08-3010]:
Ted Pedersen
2007
Determining the Syntactic Structure of Medical Terms in Clinical Notes
[W07-1002]:
Bridget McInnes
|
Ted Pedersen
|
Serguei Pakhomov
UMND1: Unsupervised Word Sense Disambiguation Using Contextual Semantic Relatedness
[S07-1086]:
Siddharth Patwardhan
|
Satanjeev Banerjee
|
Ted Pedersen
UMND2 : SenseClusters Applied to the Sense Induction Task of Senseval-4
[S07-1087]:
Ted Pedersen
2006
Automatic Cluster Stopping with Criterion Functions and the Gap Statistic
[N06-4007]:
Ted Pedersen
|
Anagha Kulkarni
Selecting the "Right" Number of Senses Based on Clustering Criterion Functions
[E06-2007]:
Ted Pedersen
|
Anagha Kulkarni
Improving Name Discrimination: A Language Salad Approach
[W06-2004]:
Ted Pedersen
|
Anagha Kulkarni
|
Roxana Angheluta
|
Zornitsa Kozareva
|
Thamar Solorio
Using WordNet-based Context Vectors to Estimate the Semantic Relatedness of Concepts
[W06-2501]:
Siddharth Patwardhan
|
Ted Pedersen
2005
Proceedings of the ACL Workshop on Building and Using Parallel Texts
[W05-0800]:
Philipp Koehn
|
Joel Martin
|
Rada Mihalcea
|
Christof Monz
|
Ted Pedersen
Word Alignment for Languages with Scarce Resources
[W05-0809]:
Joel Martin
|
Rada Mihalcea
|
Ted Pedersen
Proceedings of the ACL Interactive Poster and Demonstration Sessions
[P05-3000]:
Masaaki Nagata
|
Ted Pedersen
SenseRelate::TargetWord—A Generalized Framework for Word Sense Disambiguation
[P05-3019]:
Siddharth Patwardhan
|
Satanjeev Banerjee
|
Ted Pedersen
SenseClusters: Unsupervised Clustering and Labeling of Similar Contexts
[P05-3027]:
Anagha Kulkarni
|
Ted Pedersen
2004
SenseClusters - Finding Clusters that Represent Word Senses
[N04-3008]:
Amruta Purandare
|
Ted Pedersen
WordNet::Similarity - Measuring the Relatedness of Concepts
[N04-3012]:
Ted Pedersen
|
Siddharth Patwardhan
|
Jason Michelizzi
The Senseval-3 Multilingual English-Hindi lexical sample task
[W04-0802]:
Timothy Chklovski
|
Rada Mihalcea
|
Ted Pedersen
|
Amruta Purandare
Complementarity of lexical and simple syntactic features: The SyntaLex approach to Senseval-3
[W04-0839]:
Saif Mohammad
|
Ted Pedersen
The Duluth lexical sample systems in Senseval-3
[W04-0850]:
Ted Pedersen
Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation
[W04-2404]:
Saif Mohammad
|
Ted Pedersen
Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces
[W04-2406]:
Amruta Purandare
|
Ted Pedersen
2003
An Evaluation Exercise for Word Alignment
[W03-0301]:
Rada Mihalcea
|
Ted Pedersen
The Duluth Word Alignment System
[W03-0309]:
Bridget Thomson McInnes
|
Ted Pedersen
2002
Assessing System Agreement and Instance Difficulty in the Lexical
[W02-0806]:
Ted Pedersen
Evaluating the Effectiveness of Ensembles of Decision Trees
[W02-0812]:
Ted Pedersen
2001
A Decision Tree of Bigrams is an Accurate Predictor of Word Sense
[N01-1011]:
Ted Pedersen
Machine Learning with Lexical Features: The Duluth Approach to SENSEVAL-2
[S01-1034]:
Ted Pedersen
2000
A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation
[A00-2009]:
Ted Pedersen
1997
Sequential Model Selection for Word Sense Disambiguation
[A97-1056]:
Ted Pedersen
|
Rebecca Brucet
|
Janyce Wiebe
Distinguishing Word Senses in Untagged Text
[W97-0322]:
Ted Pedersen
|
Rebecca Bruce
A Statistical Decision Making Method: A Case Study on Prepositional Phrase Attachment
[W97-1005]:
Mehmet Kayaalp
|
Ted Pedersen
|
Rebecca Bruce
1996
The Measure of a Model
[W96-0210]:
Rebecca Bruce
|
Janyce Wiebe
|
Ted Pedersen
