Mining Relevant Syntactic Patterns for Chinese Text Extraction
碩士 === 國立中央大學 === 資訊工程研究所 === 90 === IE is a research topic related to TREC (Text Retrieval Conference) and MUC (Message Understanding Conference). The target of Information extraction (IE) is to extract specific types of information from text. The IE systems for free text form written in English...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/30689959598695641672 |
| Summary: | 碩士 === 國立中央大學 === 資訊工程研究所 === 90 ===
IE is a research topic related to TREC (Text Retrieval Conference) and MUC (Message Understanding Conference). The target of Information extraction (IE) is to extract specific types of information from text. The IE systems for free text form written in English are different from the systems for Chinese.
In this paper we propose a simple method for extracting information from free text from written in Chinese. We use training examples and encode them with the responding targets. Then we find the repeated substrings within the encoded text. These repeated substrings play the role in our IE system for Chinese which is likes the role of the sentence analyzers in some IE systems for free text form in English. In the phrase for extracting information from testing data, we first encode them and then extract the interesting target by the repeated substrings fined previously.
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