The multilingual paraphrase database

Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

Volumn , Issue , 2014, Pages 4276-4283

  Ganitkevitch, Juri ^a   Callison Burch, Chris ^b  

^a Johns Hopkins University   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Lexical resources; Multilingual resources; Paraphrasing

Indexed keywords

HUNGARIANS; LARGE VOLUMES; LEXICAL RESOURCES; MULTILINGUAL RESOURCES; PARALLEL DATA; PARAPHRASING; ROMANIANS; STATE-OF-THE-ART METHODS;

EID: 84964627587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (47)

1. Androutsopoulos, I. and Malakasiotis, P. (2010). A survey of paraphrasing and textual entailment methods. Journal of Artificial Intelligence Research (JAIR), 38:135-187.
2. Bannard, C. and Callison-Burch, C. (2005). Paraphrasing with bilingual parallel corpora. In Proceedings of ACL.
3. Barzilay, R. and Lee, L. (2003). Learning to paraphrase: An unsupervised approach using multiple-sequence alignment. In Proceedings of HLT/NAACL.
4. Barzilay, R., and McKeown, K.R., and Elhadad, M. (1999). Information fusion in the context of multi-document summarization. In Proceedings of ACL.
5. Berant, J. and Liang, P. (2014). Semantic parsing via paraphrasing. In Proceedings of ACL.
6. Bhagat, R. and Hovy, E. (2013). What is a paraphrase? Computational Linguistics, 39(3):463-472, March.
7. Bhagat, R. and Ravichandran, D. (2008). Large scale acquisition of paraphrases for learning surface patterns. In Proceedings of ACL/HLT.
8. Bosma, W. and Callison-Burch, C. (2007). Paraphrase substitution for recognizing textual entailment. In Peters, C., Clough, P., Gey, F., Karlgren, J., Magnini, B., Oard, D., Rijke, M., and Stempfhuber, M., editors, Evaluation of Multilingual and Multi-modal Information Retrieval, Lecture Notes in Computer Science, pages 502-509. Springer.
9. Callison-Burch, C. (2008). Syntactic constraints on paraphrases extracted from parallel corpora. In Proceedings of EMNLP.
10. Chan, T.P., Callison-Burch, C., and Van Durme, B. (2011). Reranking bilingually extracted paraphrases using monolingual distributional similarity. In Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics, pages 33-42, Edinburgh, UK, July. Association for Computational Linguistics.
11. Chen, D. and Dolan, B. (2011). Collecting highly parallel data for paraphrase evaluation. In Proceedings of ACL.
12. Chiang, D. (2007). Hierarchical phrase-based translation. Computational Linguistics, 33(2):201-228.
13. Denkowski, M. and Lavie, A. (2010). METEOR-NEXT and the METEOR paraphrase tables: Improved evaluation support for five target languages. In Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, WMT '10, pages 339-342.
14. Denkowski, M., Al-Haj, H., and Lavie, A. (2010). Turker-assisted paraphrasing for English-arabic machine translation. In Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, CSLDAMT '10, pages 66-70, Stroudsburg, PA, USA. Association for Computational Linguistics.
15. Dolan, B., Quirk, C., and Brockett, C. (2004). Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources. In Proceedings of the COLING.
16. Ganitkevitch, J., Callison-Burch, C., Napoles, C., and Van Durme, B. (2011). Learning sentential paraphrases from bilingual parallel corpora for text-to-text generation. In Proceedings of EMNLP.
17. Ganitkevitch, J., and Durme, B.V., and Callison-Burch, C. (2012). Monolingual distributional similarity for text-to-text generation. In Proceedings of SEM. Association for Computational Linguistics.
18. Ganitkevitch, J., Van Durme, B., and Callison-Burch, C. (2013). PPDB: The paraphrase database. In Proceedings of NAACL-HLT, pages 758-764, Atlanta, Georgia, June. Association for Computational Linguistics.
19. Hwa, R., Resnik, P., Weinberg, A., Cabezas, C., and Kolak, O. (2005). Bootstrapping parsers via syntactic projection across parallel texts. Natural language engineering, 11(3):311-325.
20. Koehn, P., and Och, F.J., and Marcu, D. (2003). Statistical phrase-based translation. In Proceedings of HLT/NAACL.
21. Koehn, P. (2005). Europarl: A parallel corpus for statistical machine translation. In Proceedings of MT Summit, Volume 5.
22. Lin, D. and Pantel, P. (2001). Discovery of inference rules from text. Natural Language Engineering.
23. Ling, W., Dyer, C., Black, A.W., and Trancoso, I. (2013). Paraphrasing 4 microblog normalization. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 73-84, Seattle, Washington, USA, October. Association for Computational Linguistics.
24. Madnani, N. and Dorr, B. (2010). Generating phrasal and sentential paraphrases: A survey of data-driven methods. Computational Linguistics, 36(3):341-388.
25. Madnani, N., and Ayan, N.F., Resnik, P., and Dorr, B. (2007). Using paraphrases for parameter tuning in statistical machine translation. In Proceedings of WMT07.
26. Malakasiotis, P. and Androutsopoulos, I. (2011). A generate and rank approach to sentence paraphrasing. In Proceedings of EMNLP, pages 96-106.
27. McKeown, K.R. (1979). Paraphrasing using given and new information in a question-answer system. In Proceedings of ACL.
28. Mizukami, M., Neubig, G., Sakti, S., Toda, T., and Nakamura, S. (2014). Creation of a Japanese paraphrase database and its application to linguistic individuality transformation. In Proceedings of the 20th Annual Meeting of the Association for Natural Language Processing (NLP2014), pages 773-776, Hokkaido, Japan, March. This paper is written in Japanese.
29. Napoles, C., Callison-Burch, C., Ganitkevitch, J., and Van Durme, B. (2011). Paraphrastic sentence compression with a character-based metric: Tightening without deletion. Workshop on Monolingual Text-To-Text Generation.
30. Och, F.J. (2003). Minimum error rate training for statistical machine translation. In Proceedings of ACL.
31. Petrov, S., Barrett, L., Thibaux, R., and Klein, D. (2006). Learning accurate, compact, and interpretable tree annotation. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pages 433-440, Sydney, Australia, July. Association for Computational Linguistics.
32. Post, M., Ganitkevitch, J., Orland, L., Weese, J., Cao, Y., and Callison-Burch, C. (2013). Joshua 5.0: Sparser, better, faster, server. In Proceedings of the Eighth Workshop on Statistical Machine Translation, pages 206-212, Sofia, Bulgaria, August.
33. Quirk, C., Brockett, C., and Dolan, W. (2004). Monolingual machine translation for paraphrase generation. In Proceedings of EMNLP.
34. Ravichandran, D. and Hovy, E. (2002). Learning sufrace text patterns for a question answering system. In Proceedings of ACL.
35. Riezler, S., Vasserman, A., Tsochantaridis, I., Mittal, V., and Liu, Y. (2007). Statistical machine translation for query expansion in answer retrieval. In Proceedings of ACL.
36. Smith, J., Saint-Amand, H., Plamada, M., Koehn, P., Callison-Burch, C., and Lopez, A. (2013). Dirt cheap web-scale parallel text from the Common Crawl. In Proceedings of the 2013 Conference of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria, July. Association for Computational Linguistics.
37. Snover, M., Madnani, N., Dorr, B., and Schwartz, R. (2010). Ter-plus: paraphrase, semantic, and alignment enhancements to translation edit rate. Machine Translation, 23(2-3):117-127.
38. Steinberger, R., Pouliquen, B., Widiger, A., Ignat, C., Erjavec, T., Tufis, D., and Varga, D. (2006). The JRC-Acquis: A multilingual aligned parallel corpus with 20+ languages. In Proceedings of LREC, Genoa, Italy.
39. Turney, P.D. and Pantel, P. (2010). From frequency to meaning: Vector space models of semantics. CoRR, abs/1003.1141.
40. Vila, M., Martí, M.A., and Rodríguez, H. (2014). Is this a paraphrase? what kind? paraphrase boundaries and typology. Open Journal of Modern Linguistics, 4(01):205.
41. Weese, J., Ganitkevitch, J., Callison-Burch, C., Post, M., and Lopez, A. (2011). Joshua 3.0: Syntax-based machine translation with the Thrax grammar extractor. In Proceedings of WMT11.
42. Xu, W., Ritter, A., and Grishman, R. (2013). Gathering and generating paraphrases from twitter with application to normalization. In Proceedings of the Sixth Workshop on Building and Using Comparable Corpora, pages 121-128, Sofia, Bulgaria, August. Association for Computational Linguistics.
43. Zhang, Y. and Yamamoto, K. (2002). Paraphrasing of chinese utterances. In Proceedings of the 19th International Conference on Computational Linguistics - Volume 1, COLING '02, pages 1-7, Stroudsburg, PA, USA. Association for Computational Linguistics.
44. Zhang, Y. and Yamamoto, K. (2005). Paraphrasing spoken chinese using a paraphrase corpus. Nat. Lang. Eng., 11(4):417-434, December.
45. Zhao, S., Niu, C., Zhou, M., Liu, T., and Li, S. (2008). Combining multiple resources to improve SMT-based paraphrasing model. In Proceedings of ACL/HLT.
46. Zhou, L., Lin, C.-Y., and Munteanu, D.S., and Hovy, E. (2006). ParaEval: Using paraphrases to evaluate summaries automatically. In Proceedings of HLT/NAACL.
47. Zollmann, A. and Venugopal, A. (2006). Syntax augmented machine translation via chart parsing. In Proceedings of WMT06.