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| Structured Information Extraction Based on Pattern Matching |
| SHAO Kun, YANG Chun-Lei, QIAN Li-Bin, FANG Shuai |
| School of Computer and Information, Hefei University of Technology, Hefei 230009 |
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Abstract The information extraction results extracted from the semi-structured texts are coarse-grained, which results in ineffective semantic analysis. A structured information extraction method based on pattern matching is proposed. The proposed method is targeted at the web-presented semi-structured texts, and the suitable lexicon is loaded through domain recognition of the coarse-grained extraction results. Roles are mapped to the corresponding words in the word sequence according to the part of speech of the role in the patterns. Thus, the structured information can be extracted and it provides support for the accurate semantic analysis. Experiments show more accurate extraction results can be achieved by the proposed method.
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Received: 27 February 2013
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2014, Vol. 27 
