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Title:
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Research and Implementation of A Domain-Unconstrained Chinese Automatic Abstracting System
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Author:
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Junjie Li
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Email:
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click here to access email
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Homepage:
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http://world.kaist.ac.kr/~jklee/
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Degree Awarded:
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Harbin Institute of Technology
, Computer Science and Engineering
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Degree Date:
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1995
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Linguistic Subfield(s):
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Computational Linguistics
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Subject Language(s):
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Chinese, Mandarin
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Director(s):
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Wang Kaizhu
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Abstract:
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In this dissertation, the author
(1) presented a new text representation, called Hierarchical Network, which is based on the natural hierarchical structure of text, i.e. Chapter, paragraph, sentence, sub-sentence, word and character to automatically index the text and corpus.
(2) designed and implemented a Non-dictionary Automatic Chinese Segmentation System which provides a new efficient method to segment new words and reach a 98% correctness rate of segmentation for open test.
(3) developed a new characteristic word weighting function which is based on word frequency and word length, where corpus-based co-occurrence computation is used in calculating word frequency.
(4) developed a new sentence importance weighting function which synthetically reflects the factors of sentence length, the number of sub-sentences, the sum of characteristic words and so on, instead of utilizing static information such as sentence location, connective expression words and phrases etc..
(5) designed and implemented a Unconstrained Chinese Automatic Abstracting System, which can generate abstracts of the texts in deferent field, style and length by any abstracting rate.
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Page Updated: 29-Nov-2009
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