Title :
The design and implementation of domain-specific text summarization system based on co-reference resolution algorithm
Author_Institution :
Inf. Countermeasure Dept., Air Force Radar Acad., Wuhan, China
Abstract :
In order to benefit from the vast amounts of information quickly and accurately, topics on automatic abstracting have become more and more popular. Compared with the traditional automatic abstracting methods, we adopted the statistic methods and word list in domain-specific field to develop domain-specific text summarization system. Referring is a common phenomenon in the real life. In the process of text handling, referring often leads to inaccurate results. To solve the problem caused by the referring, combined with the current studies, this paper introduced co-reference resolution algorithm and the implementation of domain-specific text summarization system based on resolution algorithm. By analyzing the referring phenomenon in the original text, term frequency and sentence importance are recalculated to obtain new abstracting results.
Keywords :
abstracting; statistics; text analysis; automatic abstracting; coreference resolution algorithm; domain specific text summarization system; referring phenomenon; statistic methods; text handling; Algorithm design and analysis; Feature extraction; Force; Indexes; Length measurement; Radar countermeasures; Semantics; Automatic Abstracting; Co-reference Resolution Algorithm; Domain-Specific;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569529