Simultaneous Contextualization and Interpretation with Keyword Awareness

Teppei Yoshino, Shoya Matsumori, Yosuke Fukuchi, Michita Imai

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Most natural-language-processing methods are designed for estimating context given an entire set of sentences at once. However, dialogue is incremental in nature. SCAIN (Simultaneous Contextualization and Interpretation) is an algorithm for incremental dialogue processing. Along with the progress of the dialogue, it can solve the interdependence problem in which the interpretation of words depends on the context, and the context is determined by the interpreted words. However, SCAIN cannot process texts that contain more words insignificant to context estimation such as in longer texts. We propose SCAIN with keyword extraction (SCAIN/KE), which extracts keywords that contribute to context estimation and eliminates the effect of insignificant words so that it can process longer texts. In the case study, SCAIN/KE updates context and interpretation better than SCAIN and obtains the keywords that contribute to context estimation better than other statistical methods. In the experiments, we evaluated SCAIN/KE on solving the ambiguity of polysemous words using the Wikipedia disambiguation pages. The results indicate that SCAIN/KE is more accurate than SCAIN.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Proceedings
EditorsLeszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages11
ISBN (Print)9783030878962
Publication statusPublished - 2021
Event20th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2021 - Virtual, Online
Duration: 2021 Jun 212021 Jun 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12855 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference20th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2021
CityVirtual, Online


  • Dialogue context
  • Keyword extraction
  • Polysemy
  • SLAM

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Simultaneous Contextualization and Interpretation with Keyword Awareness'. Together they form a unique fingerprint.

Cite this