default search action
Ted Pedersen
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: