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Chinese syntactic parsing based on linguistic entity-relationship model

Published: 27 October 2013 Publication History

Abstract

In this paper, we present a new parsing method for Chinese based on a newly proposed linguistic entity relationship model. In the model, we extract and define the linguistic entity relationship modes to describe the most basic syntactic and semantic structures of Chinese, and use the relationship modes as the foundation to implement the parsing algorithm. Compared with the rule-based and corpus-based methods, we neither manually write a large number of rules as used in traditional rule-based methods nor use the corpus to train the model. We only use the few meta-rules to describe the grammars in the parsing procedure. The system performance of syntactic parsing based on the model outperforms the corpus-based baseline system.

References

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Jonathan K. Kummerfeld, Daniel Tse, James R. Curran and Dan Klein. An Empirical Examination of Challenges in Chinese Parsing. The 51st Annual Meeting of the Association for Computational Linguistics, pages 98--103, 2013.
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Dechun Yin, Dakui Zhang. Semiautomatic Acquisition of Translation Templates From Monolingual Unannotated Chinese Patent Corpus. Journal of Computational Information Systems, 10(13), 2013.
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Dechun Yin, Dakui Zhang. Construct Chunk-level templates for improving Rule-based Machine Translation. Journal of Computational Information Systems, 9(14):5505--5512, 2013.
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FENG Zhi-wei. Some Philosophical Problems in Natural Language Processing. Mind and Computation, 1(3):333--353, 2007.
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Dechun Yin. Chinese Sentence Analysis Based on Linguistic Entity-Relationship Model. Natural Language Processing and Information Systems - 18th International Conference on Applications of Natural Language to Information Systems (NLDB 2013), pages 380--383, 2013.
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cover image ACM Conferences
CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management
October 2013
2612 pages
ISBN:9781450322638
DOI:10.1145/2505515
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2013

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Author Tags

  1. chinese syntactic analysis
  2. linguistic entity-relationship
  3. relationship mode
  4. syntactic parsing.

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CIKM'13
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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management
October 27 - November 1, 2013
California, San Francisco, USA

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CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;
Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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