The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Learning to paraphrase: an unsupervised approach using multiple-sequence alignment
Open accessAbstract
We address the text-to-text generation problem of sentence-level paraphrasing --- a phenomenon distinct from and more difficult than word- or phrase-level paraphrasing. Our approach applies multiple-sequence alignment to sentences gathered from unannotated comparable corpora: it learns a set of paraphrasing patterns represented by word lattice pairs and automatically determines how to apply these patterns to rewrite new sentences. The results of our evaluation experiments show that the system derives accurate paraphrases, outperforming baseline systems.
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Cites
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
BLEU: a method for automatic evaluation of machine translation
Papineni, K., Roukos, S., Ward, T., & Zhu, W.-J. (2001) · Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02 · doi:10.3115/1073083.1073135 · Cited by 21,344
Cited by
Lin, C.-Y., & Och, F. J. (2004) · Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04 · doi:10.3115/1218955.1219032 · Cited by 737
Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources
Dolan, B., Quirk, C., & Brockett, C. (2004) · Proceedings of the 20th international conference on Computational Linguistics - COLING '04 · doi:10.3115/1220355.1220406 · Cited by 728
Paraphrasing with bilingual parallel corpora
Bannard, C., & Callison-Burch, C. (2005) · Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05 · doi:10.3115/1219840.1219914 · Cited by 533
Evaluation of Text Generation: A Survey
Celikyilmaz, A., Clark, E., & Gao, J. (2020) · arXiv · doi:10.48550/arxiv.2006.14799 · Cited by 207
Evaluating Evaluation Methods for Generation in the Presence of Variation
Stent, A., Marge, M., & Singhai, M. (2005) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30586-6_38 · Cited by 126
Metadata
- Authors
- Barzilay, R., & Lee, L.
- Venue
- Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - NAACL '03
- Published
- 2003
- Volume
- 1
- Pages
- 16-23
- OpenAlex
- W2129468719
- Cited by
- 426
- References
- 2
- FWCI
- 15.22
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Barzilay, R., & Lee, L. (2003). Learning to paraphrase: an unsupervised approach using multiple-sequence alignment. Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - NAACL '03. https://doi.org/10.3115/1073445.1073448
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