Paraphrase identification on the basis of supervised machine learning techniques

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4139 LNAI, Issue , 2006, Pages 524-533

  Kozareva, Zornitsa ^a   Montoyo, Andrés ^a  

^a UNIVERSITY OF ALICANTE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; PATTERN RECOGNITION; SEMANTICS;

LEXICAL INFORMATION; PARAPHRASE IDENTIFICATION; SEMANTIC SIMILARITY INFORMATION;

ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS;

EID: 33749663541     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11816508_52     Document Type: Conference Paper

References (21)

1. Regina Barzilay and Lillian Lee. Learning to paraphrase: An unsupervised approach using multiple-sequence alignment. In HLT-NAACL 2003: Main Proceedings, pages 16-23, 2003.
2. Regina Barzilay and Kathleen McKeown. Extracting paraphrases from a parallel corpus. In 39th Annual Meeting of the Association for Computational Linguistics. pages 50-57, 2001.
3. Chris Brockett and William B. Dolan. Support vector machines for paraphrase identification and. corpus construction. In Second International Joint Conference on Natural Language Processing.
4. Jacob Cohen. A coefficient of agreement for nominal scales. Educ. Psychol. Meas, 1960.
5. Ronan Collobert and Samy Bengio. Svmtorch: Support vector machines for large-scale regression problems. Journal of Machine Learning Research, 1, issn 1533-7028:143-160, 2001.
6. Courtney Corley and Rada Mihalcea. Measures of text semantic similarity. In Proceedings of the ACL workshop on Empirical Modeling of Semantic Equivalence.
7. Walter Daelemans, Jakub Zavrel, Ko van der Sloot, and Antal van den Bosch. Timbl: Tilburg memory-based learner. Technical Report ILK 03-10, Tilburg University, November 2003.
8. Ido Dagan and Oren Glickman. Probabilistic textual entailment: Generic applied modeling of language variability. In PASCAL Workshop on Learning Methods for Text Understanding and Mining.
9. Ido Dagan, Oren Glickman, and Bernardo Magnini. The pascal recognising textual entailment challenge. In Proceedings of the PASCAL Challenges Workshop on Recognising Textual Entailment.
10. William B. Dolan, Chris Quirk, and Chris Brockett. Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources. In International Conference on Computational Linguistics, COLING.
11. Oren Glickman and Ido Dagan. Acquiring lexical paraphrases from a single corpus. In Recent Advances in Natural Language Processing III.
12. Zornitsa Kozareva and Andrés Montoyo. The role and resolution of textual entailment in natural language processing applications. In 11th International Conference on Applications of Natural Language to Information Systems (NLDB 2006), 2006.
13. Chin-Yew Lin and Eduard Hovy. Automatic evaluation of summaries using n-gram co-occurrence statistics. In Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, pages 71-78, 2003.
14. Dekang Lin. An information-theoretic definition of similarity. In Proceddings of 15th International Conf. on Machine Learning, pages 296-304. Morgan Kaufmann, San Francisco, CA, 1998.
15. Marius Pasca and Péter Dienes. Aligning needles in a haystack: Paraphrase acquisition across the web. In IJCNLP, pages 119-130, 2005.
16. Siddharth Patwardhan, Satanjeev Banerjee, and Ted Pedersen. Using measures of semantic relatedness for word sense disambiguation. In Proceedings of the Fourth International Conference on Intelligent Text Processing and Computational Linguistics.
17. Ted Pedersen. Assessing system agreement and instance difficulty in the lexical sample tasks of senseval-2. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics.
18. Chris Quirk, Chris Brockett, and William B. Dolan. Monolingual machine translation for paraphrase generation,. In Proceedings of the Conference on Empirical Methods in Natural Language Processing.
19. Helmut Schmid. Probabilistic part-of-speech tagging using decision trees. In International Conference on New Methods in Language Processing, Manchester, UK, 1994.
20. Yusuke Shinyama, Satoshi Sekine, Kiyoshi. Sudo. and Ralf Grishman. Automatic paraphrase acquisition from news articles. 2002.
21. Armando Suárez and Manuel Palomar. A maximum entropy-based word sense disambiguation system. In COLING, 2002.