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Understanding Support Method of Unknown Words Using Robot Type Search Engine

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 4692)

Abstract

In the daily conversation, new words and proper nouns (unknown words) appear in some cases. This paper proposes the method to paraphrase unknown words to common words using Thesaurus in which knowledge concerning noun is defined by a tree structure. This method uses the search results of robot type search engine (Google) as a source concerning unknown words. The relation to each node of Thesaurus is evaluated based of the search results, and unknown words are classified as an appropriate node. This method can support the user’s understanding of unknown words.

Keywords

  • Thesaurus
  • Concept-base
  • Degree of Association
  • Unknown Words

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References

  1. NTT Communication Science Laboratory: NIHONGOGOITAIKEI, Iwanami Shoten (1997)

    Google Scholar 

  2. Google, http://www.google.co.jp

  3. Hirose, T., Watabe, H., Kawaoka, T.: Automatic Refinement Method of Concept-base Considering the Rule between Concepts and Frequency of Appearance as an Attribute. Technical Report of the Institute of Electronics, Information and Communication Engineers, NLC2001-93, 109–116 (2002)

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  4. Kojima, K., Watabe, H., Kawaoka, T.: A Method of a Concept-base Construction for an Association System: Deciding Attribute Weights Based on the Degree of Attribute Reliability. Journal of Natural Language Processing 9(5), 93–110 (2002)

    Google Scholar 

  5. Watabe, H., Kawaoka, T.: Measuring Degree of Association between Concepts for Commonsense Judgements. Journal of Natural Language Processing 8(2), 39–54 (2001)

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  6. Shunsuke, I., Watabe, H., Kawaoka, T.: Positioning Unknown Word in Existing Thesaurus Using Concept-base. Information Processing Society of Japan, Special Interest Group of Natural Language Processing, 2004-NL-159, 61–66 (2004)

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  7. Watabe, H., Kawaoka, T.: The Degree of Association between Concepts using the Chain of Concepts. In: Proc. of SMC2001 (IEEE International Conference on Systems Man & Cybernetics), pp. 877–881 (2001)

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© 2007 Springer-Verlag Berlin Heidelberg

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Goto, K., Okumura, N., Watabe, H., Kawaoka, T. (2007). Understanding Support Method of Unknown Words Using Robot Type Search Engine. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_78

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  • DOI: https://doi.org/10.1007/978-3-540-74819-9_78

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74817-5

  • Online ISBN: 978-3-540-74819-9

  • eBook Packages: Computer ScienceComputer Science (R0)