Ted Pedersen

Duluth at SemEval-2025 Task 7: TF-IDF with Optimized Vector Dimensions for Multilingual Fact-Checked Claim Retrieval ACL 2025 Duluth at SemEval-2025 Task 7: TF-IDF with Optimized Vector Dimensions for Multilingual Fact-Checked Claim Retrieval SEMEVAL 2025 DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset ACL 2023 DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset SEMEVAL 2023 DuluthNLP at SemEval-2022 Task 7: Classifying Plausible Alternatives with Pre–trained ELECTRA NAACL 2022 DuluthNLP at SemEval-2022 Task 7: Classifying Plausible Alternatives with Pre–trained ELECTRA SEMEVAL 2022 NLPSharedTasks: A Corpus of Shared Task Overview Papers in Natural Language Processing Domains AACL 2022 SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph ACL 2021 Duluth at SemEval-2021 Task 11: Applying DeBERTa to Contributing Sentence Selection and Dependency Parsing for Entity Extraction SEMEVAL 2021 SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph IJCNLP 2021 Duluth at SemEval-2021 Task 11: Applying DeBERTa to Contributing Sentence Selection and Dependency Parsing for Entity Extraction IJCNLP 2021 SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph SEMEVAL 2021 Duluth at SemEval-2021 Task 11: Applying DeBERTa to Contributing Sentence Selection and Dependency Parsing for Entity Extraction ACL 2021 Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines SEMEVAL 2020 Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines COLING 2020 Duluth at SemEval-2020 Task 12: Offensive Tweet Identification in English with Logistic Regression COLING 2020 Duluth at SemEval-2020 Task 12: Offensive Tweet Identification in English with Logistic Regression SEMEVAL 2020 Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector SEMEVAL 2019 Duluth at SemEval-2019 Task 6: Lexical Approaches to Identify and Categorize Offensive Tweets SEMEVAL 2019 ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets SEMEVAL 2018 UMDuluth-CS8761 at SemEval-2018 Task9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings SEMEVAL 2018 UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding SEMEVAL 2018 Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling SEMEVAL 2018 Duluth at SemEval-2017 Task 7 : Puns Upon a Midnight Dreary, Lexical Semantics for the Weak and Weary SEMEVAL 2017 Duluth at SemEval-2017 Task 6: Language Models in Humor Detection SEMEVAL 2017 UMNDuluth at SemEval-2016 Task 14: WordNet’s Missing Lemmas SEMEVAL 2016 Duluth at SemEval 2016 Task 14: Extending Gloss Overlaps to Enrich Semantic Taxonomies SEMEVAL 2016 Duluth: Word Sense Discrimination in the Service of Lexicography SEMEVAL 2015 Duluth : Measuring Cross-Level Semantic Similarity with First and Second Order Dictionary Overlaps SEMEVAL 2014 Duluth : Word Sense Induction Applied to Web Page Clustering SEMEVAL 2013 UMLS::Similarity: Measuring the Relatedness and Similarity of Biomedical Concepts NAACL 2013 Offspring from Reproduction Problems: What Replication Failure Teaches Us ACL 2013 Duluth : Measuring Degrees of Relational Similarity with the Gloss Vector Measure of Semantic Relatedness SEMEVAL 2012 Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation CONLL 2011 Information Content Measures of Semantic Similarity Perform Better Without Sense-Tagged Text NAACL 2010 Duluth-WSI: SenseClusters Applied to the Sense Induction Task of SemEval-2 SEMEVAL 2010 WordNet::SenseRelate::AllWords - A Broad Coverage Word Sense Tagger that Maximizes Semantic Relatedness NAACL 2009 UMND2 : SenseClusters Applied to the Sense Induction Task of Senseval-4 SEMEVAL 2007 UMND1: Unsupervised Word Sense Disambiguation Using Contextual Semantic Relatedness SEMEVAL 2007 Selecting the “Right” Number of Senses Based on Clustering Criterion Functions EACL 2006 Automatic Cluster Stopping with Criterion Functions and the Gap Statistic NAACL 2006 Proceedings of the ACL Interactive Poster and Demonstration Sessions ACL 2005 SenseRelate::TargetWord—A Generalized Framework for Word Sense Disambiguation ACL 2005 SenseClusters: Unsupervised Clustering and Labeling of Similar Contexts ACL 2005 Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation CONLL 2004 WordNet::Similarity - Measuring the Relatedness of Concepts NAACL 2004 SenseClusters - Finding Clusters that Represent Word Senses NAACL 2004 Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces CONLL 2004 A Decision Tree of Bigrams is an Accurate Predictor of Word Sense NAACL 2001 A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation NAACL 2000