@inproceedings{kondo-etal-2026-paraphrase,
title = "Paraphrase Acquisition via Bilingual Pivoting Based on Neural Word Alignment",
author = "Kondo, Risa and
Sugiyama, Seiji and
Kajiwara, Tomoyuki and
Ninomiya, Takashi",
editor = "Hinrichs, Erhard and
Nivre, Joakim and
Osenova, Petya and
Pustejovsky, James and
Zinn, Claus",
booktitle = "Proceedings of the Workshop on Structured Linguistic Data and Evaluation ({SL}i{DE})",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resources Association (ELRA)",
url = "https://aclanthology.org/2026.slide-1.14/",
doi = "10.63317/2n2z2ofgsnsd",
pages = "160--168",
abstract = "We utilize neural word alignment to improve the quality of paraphrase databases in English and Japanese. For large-scale paraphrase acquisition, previous studies have employed a framework of bilingual pivoting based on word alignment on bilingual parallel corpora. Naturally, the quality of paraphrases acquired by bilingual pivoting depends on the performance of word alignment. Previous studies based on statistical word alignment have limitations in the quality of acquired paraphrases because they do not consider word meaning. This study employs a more sophisticated neural approach for word alignment in bilingual pivoting to enhance the quality of paraphrase acquisition. Experimental results revealed that our paraphrase databases outperformed existing ones in both internal and external evaluations."
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<abstract>We utilize neural word alignment to improve the quality of paraphrase databases in English and Japanese. For large-scale paraphrase acquisition, previous studies have employed a framework of bilingual pivoting based on word alignment on bilingual parallel corpora. Naturally, the quality of paraphrases acquired by bilingual pivoting depends on the performance of word alignment. Previous studies based on statistical word alignment have limitations in the quality of acquired paraphrases because they do not consider word meaning. This study employs a more sophisticated neural approach for word alignment in bilingual pivoting to enhance the quality of paraphrase acquisition. Experimental results revealed that our paraphrase databases outperformed existing ones in both internal and external evaluations.</abstract>
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%0 Conference Proceedings
%T Paraphrase Acquisition via Bilingual Pivoting Based on Neural Word Alignment
%A Kondo, Risa
%A Sugiyama, Seiji
%A Kajiwara, Tomoyuki
%A Ninomiya, Takashi
%Y Hinrichs, Erhard
%Y Nivre, Joakim
%Y Osenova, Petya
%Y Pustejovsky, James
%Y Zinn, Claus
%S Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE)
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma de Mallorca, Spain
%F kondo-etal-2026-paraphrase
%X We utilize neural word alignment to improve the quality of paraphrase databases in English and Japanese. For large-scale paraphrase acquisition, previous studies have employed a framework of bilingual pivoting based on word alignment on bilingual parallel corpora. Naturally, the quality of paraphrases acquired by bilingual pivoting depends on the performance of word alignment. Previous studies based on statistical word alignment have limitations in the quality of acquired paraphrases because they do not consider word meaning. This study employs a more sophisticated neural approach for word alignment in bilingual pivoting to enhance the quality of paraphrase acquisition. Experimental results revealed that our paraphrase databases outperformed existing ones in both internal and external evaluations.
%R 10.63317/2n2z2ofgsnsd
%U https://aclanthology.org/2026.slide-1.14/
%U https://doi.org/10.63317/2n2z2ofgsnsd
%P 160-168
Markdown (Informal)
[Paraphrase Acquisition via Bilingual Pivoting Based on Neural Word Alignment](https://aclanthology.org/2026.slide-1.14/) (Kondo et al., SLiDE 2026)
ACL