The French Correction: When Retrieval Is Harder to Specify than Adaptation

Yves Lepage, Jean Lieber, Isabelle Mornard, Emmanuel Nauer*, Julien Romary, Reynault Sies


研究成果: Conference contribution

1 被引用数 (Scopus)


A common idea in the field of case-based reasoning is that the retrieval step can be specified by the use of some similarity measure: the retrieved cases maximize the similarity to the target problem and, then, the adaptation step has to take into account the mismatches between the retrieved cases and the target problem in order to this latter. The use of this methodological schema for the application described in this paper has proven to be non efficient. Indeed, designing a retrieval procedure without the precise knowledge of the adaptation procedure has not been possible. The domain of this application is the correction of French sentences: a problem is an incorrect sentence and a valid solution is a correction of this problem. Adaptation consists in solving an analogical equation that enables to execute the correction of the retrieved case on the target problem. Thus, retrieval has to ensure that this application is feasible. The first version of such a retrieval procedure is described and evaluated: it is a knowledge-light procedure that does not use linguistic knowledge about French.

ホスト出版物のタイトルCase-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Proceedings
編集者Ian Watson, Rosina Weber
出版社Springer Science and Business Media Deutschland GmbH
出版ステータスPublished - 2020
イベント28th International Conference on Case-Based Reasoning, ICCBR 2020 - Salamanca, Spain
継続期間: 2020 6月 82020 6月 12


名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12311 LNAI


Conference28th International Conference on Case-Based Reasoning, ICCBR 2020

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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