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2020 – today
- 2024
- [i25]Rupak Kumar Das, Ted Pedersen:
SemEval-2017 Task 4: Sentiment Analysis in Twitter using BERT. CoRR abs/2401.07944 (2024) - 2023
- [c99]Samuel Akrah, Ted Pedersen:
DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset. SemEval@ACL 2023: 1697-1701 - 2022
- [c98]Samuel Akrah, Ted Pedersen:
DuluthNLP at SemEval-2022 Task 7: Classifying Plausible Alternatives with Pre-trained ELECTRA. SemEval@NAACL 2022: 1062-1066 - 2021
- [c97]Jennifer D'Souza, Sören Auer, Ted Pedersen:
SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph. SemEval@ACL/IJCNLP 2021: 364-376 - [c96]Anna Martin, Ted Pedersen:
Duluth at SemEval-2021 Task 11: Applying DeBERTa to Contributing Sentence Selection and Dependency Parsing for Entity Extraction. SemEval@ACL/IJCNLP 2021: 490-501 - [i24]Jennifer D'Souza, Sören Auer, Ted Pedersen:
SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph. CoRR abs/2106.07385 (2021) - 2020
- [c95]Shuning Jin, Yue Yin, XianE Tang, Ted Pedersen:
Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines. SemEval@COLING 2020: 986-994 - [c94]Ted Pedersen:
Duluth at SemEval-2020 Task 12: Offensive Tweet Identification in English with Logistic Regression. SemEval@COLING 2020: 1938-1946 - [i23]Ted Pedersen:
Duluth at SemEval-2020 Task 12: Offensive Tweet Identification in English with Logistic Regression. CoRR abs/2007.12946 (2020) - [i22]Ted Pedersen:
Duluth at SemEval-2019 Task 6: Lexical Approaches to Identify and Categorize Offensive Tweets. CoRR abs/2007.12949 (2020) - [i21]Shuning Jin, Yue Yin, XianE Tang, Ted Pedersen:
Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines. CoRR abs/2009.02795 (2020)
2010 – 2019
- 2019
- [j7]Julie Mennes
, Ted Pedersen
Approaching terminological ambiguity in cross-disciplinary communication as a word sense induction task: a pilot study. Lang. Resour. Evaluation 53(4): 889-917 (2019) - [c93]Ted Pedersen:
Duluth at SemEval-2019 Task 6: Lexical Approaches to Identify and Categorize Offensive Tweets. SemEval@NAACL-HLT 2019: 593-599 - [c92]Saptarshi Sengupta, Ted Pedersen:
Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector. SemEval@NAACL-HLT 2019: 949-953 - 2018
- [c91]Zhenduo Wang, Ted Pedersen:
UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding. SemEval@NAACL-HLT 2018: 395-399 - [c90]Shuning Jin, Ted Pedersen:
Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling. SemEval@NAACL-HLT 2018: 482-485 - [c89]Kevin Swanberg, Madiha Mirza, Ted Pedersen, Zhenduo Wang:
ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets. SemEval@NAACL-HLT 2018: 507-511 - [c88]Arshia Zernab Hassan, Manikya Swathi Vallabhajosyula, Ted Pedersen:
UMDuluth-CS8761 at SemEval-2018 Task9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings. SemEval@NAACL-HLT 2018: 914-918 - [i20]Shuning Jin, Ted Pedersen:
Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling. CoRR abs/1805.10267 (2018) - [i19]Arshia Zernab Hassan, Manikya Swathi Vallabhajosyula
UMDuluth-CS8761 at SemEval-2018 Task 9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings. CoRR abs/1805.10271 (2018) - [i18]Zhenduo Wang, Ted Pedersen:
UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding. CoRR abs/1805.10274 (2018) - 2017
- [c87]Bridget T. McInnes, Ted Pedersen:
Improving Correlation with Human Judgments by Integrating Semantic Similarity with Second-Order Vectors. BioNLP 2017: 107-116 - [c86]Xinru Yan, Ted Pedersen:
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection. SemEval@ACL 2017: 385-389 - [c85]Ted Pedersen:
Duluth at SemEval-2017 Task 7 : Puns Upon a Midnight Dreary, Lexical Semantics for the Weak and Weary. SemEval@ACL 2017: 416-420 - [i17]Ted Pedersen:
Duluth at Semeval-2017 Task 7 : Puns upon a midnight dreary, Lexical Semantics for the weak and weary. CoRR abs/1704.08388 (2017) - [i16]Xinru Yan, Ted Pedersen:
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection. CoRR abs/1704.08390 (2017) - [i15]Ted Pedersen:
Duluth at SemEval-2016 Task 14 : Extending Gloss Overlaps to Enrich Semantic Taxonomies. CoRR abs/1705.00390 (2017) - [i14]Xinru Yan, Ted Pedersen:
Who's to say what's funny? A computer using Language Models and Deep Learning, That's Who! CoRR abs/1705.10272 (2017) - 2016
- [c84]Nicolas Rey-Villamizar, Prasha Shrestha, Farig Sadeque, Steven Bethard, Ted Pedersen, Arjun Mukherjee, Thamar Solorio:
Analysis of Anxious Word Usage on Online Health Forums. Louhi@EMNLP 2016: 37-42 - [c83]Farig Sadeque, Ted Pedersen, Thamar Solorio, Prasha Shrestha, Nicolas Rey-Villamizar, Steven Bethard:
Why Do They Leave: Modeling Participation in Online Depression Forums. SocialNLP@EMNLP 2016: 14-19 - [c82]Roger Evans, Alexander F. Gelbukh, Gregory Grefenstette, Patrick Hanks, Milos Jakubícek
Adam Kilgarriff's Legacy to Computational Linguistics and Beyond. CICLing (1) 2016: 3-25 - [c81]Prasha Shrestha, Nicolas Rey-Villamizar, Farig Sadeque, Ted Pedersen, Steven Bethard, Thamar Solorio:
Age and Gender Prediction on Health Forum Data. LREC 2016 - [c80]Nicolas Rey-Villamizar, Prasha Shrestha, Thamar Solorio, Farig Sadeque, Steven Bethard, Ted Pedersen:
Semi-supervised CLPsych 2016 Shared Task System Submission. CLPsych@HLT-NAACL 2016: 171-175 - [c79]Ted Pedersen:
Duluth at SemEval 2016 Task 14: Extending Gloss Overlaps to Enrich Semantic Taxonomies. SemEval@NAACL-HLT 2016: 1328-1331 - [c78]Jon Rusert, Ted Pedersen:
UMNDuluth at SemEval-2016 Task 14: WordNet's Missing Lemmas. SemEval@NAACL-HLT 2016: 1346-1350 - [i13]Bridget T. McInnes, Ted Pedersen:
Improving Correlation with Human Judgments by Embedding Second Order Vectors with Semantic Similarity. CoRR abs/1609.00559 (2016) - 2015
- [j6]Bridget T. McInnes, Ted Pedersen
Evaluating semantic similarity and relatedness over the semantic grouping of clinical term pairs. J. Biomed. Informatics 54: 329-336 (2015) - [c77]Farig Sadeque, Thamar Solorio, Ted Pedersen, Prasha Shrestha, Steven Bethard:
Predicting Continued Participation in Online Health Forums. Louhi@EMNLP 2015: 12-20 - [c76]Ted Pedersen:
Screening Twitter Users for Depression and PTSD with Lexical Decision Lists. CLPsych@HLT-NAACL 2015: 46-53 - [c75]Ted Pedersen:
Duluth: Word Sense Discrimination in the Service of Lexicography. SemEval@NAACL-HLT 2015: 438-442 - 2014
- [c74]Bridget T. McInnes, Ted Pedersen, Ying Liu, Genevieve B. Melton, Serguei V. S. Pakhomov:
U-path: An undirected path-based measure of semantic similarity. AMIA 2014 - [c73]Ted Pedersen:
Duluth : Measuring Cross-Level Semantic Similarity with First and Second Order Dictionary Overlaps. SemEval@COLING 2014: 247-251 - 2013
- [j5]Bridget T. McInnes, Ted Pedersen
Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text. J. Biomed. Informatics 46(6): 1116-1124 (2013) - [c72]Antske Fokkens, Marieke van Erp, Marten Postma, Ted Pedersen, Piek Vossen, Nuno Freire:
Offspring from Reproduction Problems: What Replication Failure Teaches Us. ACL (1) 2013: 1691-1701 - [c71]Bridget T. McInnes, Ted Pedersen, Serguei V. S. Pakhomov, Ying Liu, Genevieve Melton-Meaux:
UMLS: : Similarity: Measuring the Relatedness and Similarity of Biomedical Concepts. HLT-NAACL 2013: 28-31 - [c70]Ted Pedersen:
Duluth : Word Sense Induction Applied to Web Page Clustering. SemEval@NAACL-HLT 2013: 202-206 - 2012
- [c69]Robert Bill, Ying Liu, Bridget T. McInnes, Genevieve B. Melton, Ted Pedersen, Serguei V. S. Pakhomov:
Evaluating Semantic Relatedness and Similarity Measures with Standardized MedDRA Queries. AMIA 2012 - [c68]Ying Liu, Robert Bill, Marcelo Fiszman, Thomas C. Rindflesch, Ted Pedersen, Genevieve B. Melton, Serguei V. S. Pakhomov:
Using SemRep to Label Semantic Relations Extracted from Clinical Text. AMIA 2012 - [c67]Ying Liu, Bridget T. McInnes, Ted Pedersen
Semantic relatedness study using second order co-occurrence vectors computed from biomedical corpora, UMLS and WordNet. IHI 2012: 363-372 - [c66]Ted Pedersen
Measuring the similarity and relatedness of concepts in the medical domain: IHI 2012 tutorial overview. IHI 2012: 879-880 - [c65]Ted Pedersen:
Duluth : Measuring Degrees of Relational Similarity with the Gloss Vector Measure of Semantic Relatedness. SemEval@NAACL-HLT 2012: 497-501 - 2011
- [j4]Serguei V. S. Pakhomov, Ted Pedersen
Towards a framework for developing semantic relatedness reference standards. J. Biomed. Informatics 44(2): 251-265 (2011) - [c64]Bridget T. McInnes, Ted Pedersen, Ying Liu, Serguei V. S. Pakhomov, Genevieve B. Melton:
Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation. CoNLL 2011: 145-153 - [c63]Ted Pedersen, Satanjeev Banerjee, Bridget T. McInnes, Saiyam Kohli, Mahesh Joshi, Ying Liu:
The Ngram Statistics Package (Text: : NSP) : A Flexible Tool for Identifying Ngrams, Collocations, and Word Associations. MWE@ACL 2011: 131-133 - 2010
- [c62]Ted Pedersen
The effect of different context representations on word sense discrimination in biomedical texts. IHI 2010: 56-65 - [c61]Ted Pedersen:
Information Content Measures of Semantic Similarity Perform Better Without Sense-Tagged Text. HLT-NAACL 2010: 329-332 - [c60]Ted Pedersen:
Duluth-WSI: SenseClusters Applied to the Sense Induction Task of SemEval-2. SemEval@ACL 2010: 363-366 - [e2]Thamar Solorio, Ted Pedersen:
Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas, Los Angeles, CA, USA, June 6, 2010. Association for Computational Linguistics 2010 [contents]
2000 – 2009
- 2009
- [c59]Bridget T. McInnes, Ted Pedersen, Serguei V. S. Pakhomov:
UMLS-Interface and UMLS-Similarity : Open Source Software for Measuring Paths and Semantic Similarity. AMIA 2009 - [c58]Ted Pedersen
Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping. CICLing 2009: 294-305 - [c57]Ted Pedersen, Varada Kolhatkar:
WordNet: : SenseRelate: : AllWords - A Broad Coverage Word Sense Tagger that Maximizes Semantic Relatedness. HLT-NAACL (Demos) 2009: 17-20 - 2008
- [j3]Ted Pedersen
Empiricism Is Not a Matter of Faith. Comput. Linguistics 34(3): 465-470 (2008) - [i12]Ted Pedersen:
Computational Approaches to Measuring the Similarity of Short Contexts : A Review of Applications and Methods. CoRR abs/0806.3787 (2008) - 2007
- [j2]Ted Pedersen
Measures of semantic similarity and relatedness in the biomedical domain. J. Biomed. Informatics 40(3): 288-299 (2007) - [c56]Bridget T. McInnes, Ted Pedersen, John Carlis:
Using UMLS Concept Unique Identifiers (CUIs) for Word Sense Disambiguation in the Biomedical Domain. AMIA 2007 - [c55]Bridget T. McInnes, Ted Pedersen, Serguei Pakhomov:
Determining the Syntactic Structure of Medical Terms in Clinical Notes. BioNLP@ACL 2007: 9-16 - [c54]Ted Pedersen, Anagha Kulkarni:
Unsupervised Discrimination of Person Names in Web Contexts. CICLing 2007: 299-310 - [c53]Siddharth Patwardhan, Satanjeev Banerjee, Ted Pedersen:
UMND1: Unsupervised Word Sense Disambiguation Using Contextual Semantic Relatedness. SemEval@ACL 2007: 390-393 - [c52]Ted Pedersen:
UMND2 : SenseClusters Applied to the Sense Induction Task of Senseval-4. SemEval@ACL 2007: 394-397 - [i11]Ted Pedersen:
Learning Probabilistic Models of Word Sense Disambiguation. CoRR abs/0707.3972 (2007) - 2006
- [c51]Mahesh Joshi, Ted Pedersen, Richard Maclin, Serguei V. S. Pakhomov:
Kernel Methods for Word Sense Disambiguation and Acronym Expansion. AAAI 2006: 1879-1880 - [c50]Anagha Kulkarni, Ted Pedersen:
How Many Different "John Smiths", and Who Are They? AAAI 2006: 1885-1886 - [c49]Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen, Richard Maclin, Christopher G. Chute:
An End-to-End Supervised Target-Word Sense Disambiguation System. AAAI 2006: 1941-1942 - [c48]Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen, Christopher G. Chute:
A Comparative Study of Supervised Learning as Applied to Acronym Expansion in Clinical Reports. AMIA 2006 - [c47]Ted Pedersen, Anagha Kulkarni, Roxana Angheluta, Zornitsa Kozareva, Thamar Solorio:
An Unsupervised Language Independent Method of Name Discrimination Using Second Order Co-occurrence Features. CICLing 2006: 208-222 - [c46]Ted Pedersen, Anagha Kulkarni:
Selecting the "Right" Number of Senses Based on Clustering Criterion Functions. EACL 2006 - [c45]Ted Pedersen, Anagha Kulkarni:
Automatic Cluster Stopping with Criterion Functions and the Gap Statistic. HLT-NAACL 2006 - 2005
- [c44]Siddharth Patwardhan, Satanjeev Banerjee, Ted Pedersen:
SenseRelate: : TargetWord-A Generalized Framework for Word Sense Disambiguation. AAAI 2005: 1692-1693 - [c43]Ted Pedersen, Anagha Kulkarni:
Identifying Similar Words and Contexts in Natural Language with SenseClusters. AAAI 2005: 1694-1695 - [c42]Joel Martin, Rada Mihalcea, Ted Pedersen:
Word Alignment for Languages with Scarce Resources. ParallelText@ACL 2005: 65-74 - [c41]Siddharth Patwardhan, Satanjeev Banerjee, Ted Pedersen:
SenseRelate: : TargetWord-A Generalized Framework for Word Sense Disambiguation. ACL 2005: 73-76 - [c40]Anagha Kulkarni, Ted Pedersen:
SenseClusters: Unsupervised Clustering and Labeling of Similar Contexts. ACL 2005: 105-108 - [c39]Serguei Pakhomov, Ted Pedersen, Christopher G. Chute:
Abbreviation and Acronym Disambiguation in Clinical Discourse. AMIA 2005 - [c38]Ted Pedersen, Amruta Purandare, Anagha Kulkarni:
Name Discrimination by Clustering Similar Contexts. CICLing 2005: 226-237 - [c37]Anagha Kulkarni, Ted Pedersen:
Name Discrimination and Email Clustering using Unsupervised Clustering and Labeling of Similar Contexts. IICAI 2005: 703-722 - [c36]Mahesh Joshi, Ted Pedersen, Richard Maclin:
A Comparative Study of Support Vector Machines Applied to the Supervised Word Sense Disambiguation Problem in the Medical Domain. IICAI 2005: 3449-3468 - [e1]Philipp Koehn, Joel Martin, Rada Mihalcea, Christof Monz, Ted Pedersen:
Proceedings of the Workshop on Building and Using Parallel Texts@ACL 2005, Ann Arbor, Michigan, USA, June 29-30, 2005. Association for Computational Linguistics 2005 [contents] - 2004
- [j1]Ted Pedersen:
Book Review: Theoretical and Computational Approaches. Minds Mach. 14(3): 419-423 (2004) - [c35]Amruta Purandare, Ted Pedersen:
Discriminating Among Word Meanings by Identifying Similar Contexts. AAAI 2004: 964-965 - [c34]Ted Pedersen, Siddharth Patwardhan, Jason Michelizzi:
WordNet: : Similarity - Measuring the Relatedness of Concepts. AAAI 2004: 1024-1025 - [c33]Amruta Purandare, Ted Pedersen:
SenseClusters - Finding Clusters that Represent Word Senses. AAAI 2004: 1030-1031 - [c32]Saif M. Mohammad, Ted Pedersen:
Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation. CoNLL 2004: 25-32 - [c31]Amruta Purandare, Ted Pedersen:
Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces. CoNLL 2004: 41-48 - [c30]Ted Pedersen, Siddharth Patwardhan, Jason Michelizzi:
WordNet: : Similarity - Measuring the Relatedness of Concepts. HLT-NAACL (Demonstration Papers) 2004 - [c29]Amruta Purandare, Ted Pedersen:
SenseClusters - Finding Clusters that Represent Word Senses. HLT-NAACL (Demonstration Papers) 2004 - [c28]Timothy Chklovski, Rada Mihalcea, Ted Pedersen, Amruta Purandare:
The Senseval-3 Multilingual English-Hindi lexical sample task. SENSEVAL@ACL 2004 - [c27]Saif M. Mohammad, Ted Pedersen:
Complementarity of lexical and simple syntactic features: The SyntaLex approach to Senseval-3. SENSEVAL@ACL 2004 - [c26]Ted Pedersen:
The Duluth lexical sample systems in Senseval-3. SENSEVAL@ACL 2004 - 2003
- [c25]Saif M. Mohammad, Ted Pedersen:
Guaranteed Pre-tagging for the Brill Tagger. CICLing 2003: 148-157 - [c24]Siddharth Patwardhan, Satanjeev Banerjee, Ted Pedersen:
Using Measures of Semantic Relatedness for Word Sense Disambiguation. CICLing 2003: 241-257 - [c23]Satanjeev Banerjee, Ted Pedersen
The Design, Implementation, and Use of the Ngram Statistics Package. CICLing 2003: 370-381 - [c22]Satanjeev Banerjee, Ted Pedersen:
Extended Gloss Overlaps as a Measure of Semantic Relatedness. IJCAI 2003: 805-810 - [c21]Bridget T. McInnes, Ted Pedersen:
The Duluth Word Alignment System. ParallelTexts@NAACL-HLT 2003 - [c20]Rada Mihalcea, Ted Pedersen:
An Evaluation Exercise for Word Alignment. ParallelTexts@NAACL-HLT 2003 - 2002
- [c19]Ted Pedersen:
A Baseline Methodology for Word Sense Disambiguation. CICLing 2002: 126-135 - [c18]Satanjeev Banerjee, Ted Pedersen:
An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet. CICLing 2002: 136-145 - [c17]Ted Pedersen:
Assessing System Agreement and Instance Difficulty in the Lexical. SENSEVAL 2002: 40-46 - [c16]Ted Pedersen:
Evaluating the Effectiveness of Ensembles of Decision Trees. SENSEVAL 2002: 81-87 - [i10]Ted Pedersen:
Evaluating the Effectiveness of Ensembles of Decision Trees in Disambiguating Senseval Lexical Samples. CoRR cs.CL/0205067 (2002) - [i9]Ted Pedersen:
Assessing System Agreement and Instance Difficulty in the Lexical Sample Tasks of Senseval-2. CoRR cs.CL/0205068 (2002) - [i8]Ted Pedersen:
Machine Learning with Lexical Features: The Duluth Approach to Senseval-2. CoRR cs.CL/0205069 (2002) - 2001
- [c15]Ted Pedersen:
Lexical Semantic Ambiguity Resolution with Bigram-Based Decision Trees. CICLing 2001: 157-168 - [c14]Ted Pedersen:
A Decision Tree of Bigrams is an Accurate Predictor of Word Sense. NAACL 2001 - [c13]Ted Pedersen:
Machine Learning with Lexical Features: The Duluth Approach to SENSEVAL-2. SENSEVAL@ACL 2001: 139-142 - [i7]Ted Pedersen:
A Decision Tree of Bigrams is an Accurate Predictor of Word Sense. CoRR cs.CL/0103026 (2001) - 2000
- [c12]Ted Pedersen:
A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation. ANLP 2000: 63-69 - [i6]Ted Pedersen:
A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation. CoRR cs.CL/0005006 (2000)
1990 – 1999
- 1998
- [c11]Ted Pedersen, Rebecca F. Bruce:
Knowledge Lean Word-Sense Disambiguation. AAAI/IAAI 1998: 800-805 - [c10]Ted Pedersen:
Dependent Bigram Identification. AAAI/IAAI 1998: 1197 - [c9]Ted Pedersen:
Raw Corpus Word Sense Disambiguation. AAAI/IAAI 1998: 1198 - 1997
- [c8]Ted Pedersen, Rebecca F. Bruce:
A New Supervised Learning Algorithm for Word Sense Disambiguation. AAAI/IAAI 1997: 604-609 - [c7]Ted Pedersen:
Knowledge Lean Word Sense Disambiguation. AAAI/IAAI 1997: 814 - [c6]Ted Pedersen:
Naive Mixes for Word Sense Disambiguation. AAAI/IAAI 1997: 841 - [c5]Ted Pedersen, Rebecca F. Bruce, Janyce Wiebe:
Sequential Model Selection for Word Sense Disambiguation. ANLP 1997: 388-395 - [c4]Mehmet Kayaalp, Ted Pedersen, Rebecca F. Bruce:
A Statistical Decision Making Method: A Case Study on Prepositional Phrase Attachment. CoNLL 1997: 33-42 - [c3]Ted Pedersen, Rebecca F. Bruce:
Distinguishing Word Senses in Untagged Text. EMNLP 1997 - [i5]Ted Pedersen, Rebecca F. Bruce, Janyce Wiebe:
Sequential Model Selection for Word Sense Disambiguation. CoRR cmp-lg/9702008 (1997) - [i4]Ted Pedersen, Rebecca F. Bruce:
Distinguishing Word Senses in Untagged Text. CoRR cmp-lg/9706008 (1997) - 1996
- [c2]Ted Pedersen, Mehmet Kayaalp, Rebecca F. Bruce:
Significant Lexical Relationships. AAAI/IAAI, Vol. 1 1996: 455-460 - [c1]Rebecca F. Bruce, Janyce Wiebe, Ted Pedersen:
The Measure of a Model. EMNLP 1996 - [i3]Rebecca F. Bruce, Janyce Wiebe, Ted Pedersen:
The Measure of a Model. CoRR cmp-lg/9604018 (1996) - [i2]Ted Pedersen:
Fishing for Exactness. CoRR cmp-lg/9608010 (1996) - 1995
- [i1]Ted Pedersen, Weidong Chen:
Lexical Acquisition via Constraint Solving. CoRR cmp-lg/9502028 (1995)
Coauthor Index
Serguei V. S. Pakhomov
aka: Serguei Pakhomov
aka: Serguei Pakhomov
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