NCSU: Modeling temporal relations with Markov logic and lexical ontology

ACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings

Volumn , Issue , 2010, Pages 341-344

  Ha, Eun Young ^a   Baikadi, Alok ^a   Licata, Carlyle ^a   Lester, James C ^a  

^a North Carolina State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; MARKOV PROCESSES; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; SUPERVISED LEARNING;

LEXICAL ONTOLOGY; LEXICAL RELATIONS; MARKOV LOGIC; SUBTASKS; SUPERVISED MACHINE LEARNING; SYNTACTIC FEATURES; TEMPORAL RELATION;

COMPUTER CIRCUITS;

EID: 84945968887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. R. Agrawal, S. Dar, and H. V. Jagadish. 1990. Direct transitive closure algorithms: design and performance evaluation. ACM Transactions on Database Systems, 15(3):427-458.
2. S. Bethard and J. H. Martin. 2007. CU-TMP: temporal relation classification using syntactic and semantic features. In Proceedings of the 4th International Workshop on Semantic Evaluations, pages 129-132, Prague, Czech Republic.
3. E. Charniak. 2000. A maximum-entropy-inspired parser. In Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference, pages 132-139, Seattle, WA.
4. Y. Cheng, M. Asahara, and Y. Matsumoto. 2007. NAIST. Japan: Temporal relation identification using dependency parsed tree. In Proceedings of the 4th International Workshop on Semantic Evaluations, pages 245-248, Prague, Czech Republic.
5. T. Chklovski and P. Pantel. 2004. VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations. In Proceedings of Conference on Empirical Methods in Natural Language Processing, pages 33-40, Barcelona, Spain.
6. C. Fellbaum. 1998. WordNet: An Electronic Lexical Database. Cambridge, MA: MIT Press.
7. E. Loper and S. Bird. 2002. NLTK: The Natural Language Toolkit. In Proceedings of ACL Workshop on Effective Tools and Methodologies for Teaching Natural Language Processing and Computational Linguistics, pages 62-69, Philadelphia, PA.
8. I. Mani, M. Verhagen, B. Wellner, C. M. Lee, and J. Pustejovsky. 2006. Machine learning of temporal relations. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, pages 753-760, Sydney, Australia.
9. M. Richardson and P. Domingos. 2006. Markov Logic Networks. Machine Learning, 62(1):107-136.
10. S. Riedel. 2008. Improving the accuracy and efficiency of MAP inference for Markov Logic. In Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, pages 468-475, Helsinki, Finland.
11. K. Yoshikawa, S. Riedel, M. Asahara, and Y. Matsumoto. 2009. Jointly Identifying Temporal Relations with Markov Logic. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pages 405-413, Suntec, Singapore.