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Frontiers of Information Technology & Electronic Engineering  2010, Vol. 11 Issue (11): 844-849    DOI: 10.1631/jzus.C1001003
    
Ratna Sanyal, Kushal Keshri, Vidya Nand
Importance of retrieving noun phrases and named entities from digital library content
Ratna Sanyal, Kushal Keshri, Vidya Nand
Indian Institute of Information Technology, Allahabad 211012, India
 全文: PDF 
Abstract: We present a novel approach for extracting noun phrases in general and named entities in particular from a digital repository of text documents. The problem of coreference resolution has been divided into two subproblems: pronoun resolution and non-pronominal resolution. A rule based-technique was used for pronoun resolution while a learning approach for non-pronominal resolution. For named entity resolution, disambiguation arises mainly due to polysemy and synonymy. The proposed approach fixes both problems with the help of WordNet and the Word Sense Disambiguation tool. The proposed approach, to our knowledge, outperforms several baseline techniques with a higher balanced F-measure, which is harmonic mean of recall and precision. The improvements in the system performance are due to the filtering of antecedents for the anaphor based on several linguistic disagreements, use of a hybrid approach, and increment in the feature vector to include more linguistic details in the learning technique.
Key words: Coreference resolution    Hybrid approach    Filtering    Rule based and J48 algorithm
收稿日期: 2010-09-01 出版日期: 2010-11-04
CLC:  TP391  
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Vidya Nand
Ratna Sanyal
Kushal Keshri

引用本文:

Ratna Sanyal, Kushal Keshri, Vidya Nand. Importance of retrieving noun phrases and named entities from digital library content. Front. Inform. Technol. Electron. Eng., 2010, 11(11): 844-849.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1001003    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2010/V11/I11/844

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