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NEC: description of the VENIEX system as used for MUC-5

Published: 25 August 1993 Publication History

Abstract

NEC Corporation has had years of experience in natural language processing and machine translation[1, 2, 3, 4, 5], and currently markets commercial natural language processing systems. Utilizing dictionaries and parsing engines we have already had, we have developed the VENIEX System (VENus for Information EXtraction) as used for MUC-5 in only three months. Our method is to apply both domain-specific keyword-based analysis and full sentential parsing with general grammar[6, 7]. The keyword dictionary of VENIEX contains about thirty thousand entries, whose semantic structures are sub_ME_Capability frame, and the parsing and discourse processing are controlled with the information given in this semantic structure of keywords. The resulting scores of VENIEX for formal run texts were from 0.7181 (minimum) to 0.7548 (maximum) in Richness-Normalized Error and 48.33 in F-MEASURES (P&R).

References

[1]
Muraki, K., "VENUS: Two-phase Machine Translation System", Future Generations Computer Systems, 2, 1986
[2]
Ichiyama, S., "Multi-lingual Machine Translation System", Office Equipment and Products, 18-131, August 1989
[3]
Okumura, A., Muraki, K. and Akamine, S., "Multi-lingual Sentence Generation from the PIVOT interlingua", Proceedings of MT SUMMIT III, July 1991
[4]
Doi, S., Muraki, K., Kamei, S. and Yamabana, K., "Long Sentence Analysis by Domain-Specific Pattern Grammar", Proceedings of EACL 93, April 1993
[5]
Yamabana, K., Kamei, S. and Muraki, K., "On Representation of Preference Scores", Proceedings of TMI-93, July 1993
[6]
Ando, S., Doi, S. and Muraki, K., "Information Extraction System based on Keywords and Text Structure", Proceedings of the 47th Annual Conference of IPSJ, October 1993 (in Japanese)
[7]
Doi, S., Ando, S. and Muraki, K., "Context Analysis in Information Extraction System based on Key-words and Text Structure", Proceedings of the 47th Annual Conference of IPSJ, October 1993 (in Japanese)

Cited By

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  • (2000)Machine Learning for Information Extraction in Informal DomainsMachine Language10.1023/A:100760111399439:2-3(169-202)Online publication date: 1-May-2000
  • (1998)Information classification and navigation based on 5W1H of the target informationProceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 110.3115/980845.980940(571-577)Online publication date: 10-Aug-1998
  • (1996)NEC corporation and University of SheffieldProceedings of a workshop on held at Vienna, Virginia: May 6-8, 199610.3115/1119018.1119085(475-476)Online publication date: 6-May-1996

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cover image DL Hosted proceedings
MUC5 '93: Proceedings of the 5th conference on Message understanding
August 1993
390 pages
ISBN:1558603360

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Association for Computational Linguistics

United States

Publication History

Published: 25 August 1993

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Cited By

View all
  • (2000)Machine Learning for Information Extraction in Informal DomainsMachine Language10.1023/A:100760111399439:2-3(169-202)Online publication date: 1-May-2000
  • (1998)Information classification and navigation based on 5W1H of the target informationProceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 110.3115/980845.980940(571-577)Online publication date: 10-Aug-1998
  • (1996)NEC corporation and University of SheffieldProceedings of a workshop on held at Vienna, Virginia: May 6-8, 199610.3115/1119018.1119085(475-476)Online publication date: 6-May-1996

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