Analogies Between Short Sentences: A Semantico-Formal Approach

Yves Lepage*

*この研究の対応する著者

研究成果: Conference contribution

抄録

The present article proposes a method to solve analogies between sentences by combining existing techniques to solve formal analogies between strings and semantic analogies between words. The method is applied on sentences from the Tatoeba corpus. Two datasets of more than five thousand semantico-formal analogies, in English and French, are released.

本文言語English
ホスト出版物のタイトルHuman Language Technology. Challenges for Computer Science and Linguistics - 9th Language and Technology Conference, LTC 2019, Revised Selected Papers
編集者Zygmunt Vetulani, Patrick Paroubek, Marek Kubis
出版社Springer Science and Business Media Deutschland GmbH
ページ163-179
ページ数17
ISBN(印刷版)9783031053276
DOI
出版ステータスPublished - 2022
イベント9th Language and Technology Conference, LTC 2019 - Poznań, Poland
継続期間: 2019 5月 172019 5月 19

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13212 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference9th Language and Technology Conference, LTC 2019
国/地域Poland
CityPoznań
Period19/5/1719/5/19

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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