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Cited by 470

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Extracting paraphrases from a parallel corpus

Open access
Barzilay, Regina, McKeown, Kathleen R.·2001·Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01

Abstract

While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. We present an unsupervised learning algorithm for identification of paraphrases from a corpus of multiple English translations of the same source text. Our approach yields phrasal and single word lexical paraphrases as well as syntactic paraphrases.

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Metadata

Authors
Barzilay, R., & McKeown, K. R.
Venue
Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01
Published
2001
Pages
50-57
OpenAlex
W2107130271
Cited by
470
References
27
FWCI
11.62
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Extracting paraphrases from a parallel corpus. https://app.cochat.ai/papers/10.3115/1073012.1073020
The paper
Barzilay, R., & McKeown, K. R. (2001). Extracting paraphrases from a parallel corpus. Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01. https://doi.org/10.3115/1073012.1073020

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.