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International Conference of the Pacific Association for Computational Linguistics

PACLING 2019: Computational Linguistics pp 79–87Cite as

Evaluation of Embedded Vectors for Lexemes and Synsets Toward Expansion of Japanese WordNet

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1215))

Abstract

In this paper, we discuss the possibility to expand Japanese WordNet using AutoExtend that can produce embedded vectors based on dictionary structure. Recently several kinds of NLP tasks showed that the distributed representations for words are effective, however, the word-embedded vectors constructed based on contexts of surrounded words would be difficult to discriminate meanings of a word because every vector is produced for a word. On the other hand, AutoExtend that can produce embedded vectors for meanings and concepts as well as words taking into account thesaurus structure of dictionary, has been proposed and applied into English WordNet. Thus, in this paper, we apply AutoExtend into a Japanese dictionary i.e., Japanese WordNet to construct embedded vectors for lexems and synsets as well as words taking into account thesaurus structure of Japanese WordNet. The experimental results show that embedded vectors constructed by AutoExtend can be helpful to find corresponding meanings for unregistered words in the dictionary.

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Notes

  1. 1.

    https://framenet.icsi.berkeley.edu/fndrupal/.

  2. 2.

    http://verbs.colorado.edu/~mpalmer/projects/verbnet.html.

  3. 3.

    http://pth.cl.cs.okayama-u.ac.jp/.

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Acknowledgment

A part of the research reported in this paper is supported by JSPS KAKENHI (JP19K00552) and the NINJAL project “Development of and Research with a parsed corpus of Japanese” by JSPS KAKENHI (JP15H03210).

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Authors and Affiliations

  1. Graduate School of Natural Science and Technology, Okayama University, Okayama, Okayama, 7008530, Japan

    Daiki Ko & Koichi Takeuchi

Authors
  1. Daiki Ko
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  2. Koichi Takeuchi
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Corresponding author

Correspondence to Daiki Ko .

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Editors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Le-Minh Nguyen

  2. University of Engineering and Technology, Hanoi, Vietnam

    Xuan-Hieu Phan

  3. Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

    Kôiti Hasida

  4. Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Satoshi Tojo

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Ko, D., Takeuchi, K. (2020). Evaluation of Embedded Vectors for Lexemes and Synsets Toward Expansion of Japanese WordNet. In: Nguyen, LM., Phan, XH., Hasida, K., Tojo, S. (eds) Computational Linguistics. PACLING 2019. Communications in Computer and Information Science, vol 1215. Springer, Singapore. https://doi.org/10.1007/978-981-15-6168-9_7

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  • DOI: https://doi.org/10.1007/978-981-15-6168-9_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6167-2

  • Online ISBN: 978-981-15-6168-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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