JSAI2022

Presentation information

Organized Session

Organized Session » OS-13

[1J4-OS-13a] 医療言語処理の拡張と連携(1/2)

Tue. Jun 14, 2022 2:20 PM - 4:00 PM Room J (Room J)

オーガナイザ:矢田 竣太郎(奈良先端科学技術大学院大学)[現地]、荒牧 英治(奈良先端科学技術大学院大学)、河添 悦昌(東京大学)

3:40 PM - 4:00 PM

[1J4-OS-13a-05] Compound Words Analysis and Inferences of Japanese Clinical Texts

〇Mana Ishida1, Hitomi Yanaka2, Daisuke Bekki1 (1. Ochanomizu University, 2. The University of Tokyo)

Keywords:Recognizing Textual Entailment, Compound Words Analysis, Medical Case Retrieval

To realize a medical case retrieval using ccg2lambda, which is an integrated system that maps a sentence to a higher-order logical formula by syntactic analysis and semantic composition based on Combinatory Categorial Grammar (CCG), we should consider how to obtain semantic representations of compound words in clinical texts.
In this paper, we modify the compound word analysis module of ccg2lambda and provide a logical inference system for a medical case retrieval.
The compound word analysis module assigns semantic tags to the constituents of compound words using sequence labeling models.
Based on this information, we derive the CCG parse trees of compound words and obtain their semantic representations that allow logical inference.
In addition, we create an inference test set involving compound words with critical texts.
The experiments showed that our inference system outperformed the BERT NLI model on the inference test set involving compound words.

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