Accurate Keyphrase Extraction from Scientific Papers by Mining Linguistic Information
نویسندگان
چکیده
In this paper we investigate the impact of candidate terms filtering using linguistic information on the accuracy of automatic keyphrase extraction from scientific papers. According to linguistic knowledge, the noun phrases are most likely to be keyphrases. However the definition of a noun phrase can vary from a system to another. We have identified five POS tag sequence definitions of a noun phrase in keyphrase extraction literature and proposed a new definition. We estimated experimentally the accuracy of a keyphrase extraction system using different noun phrase filters in order to determine which noun phrase definition yields to the best results. Conference Topic Text mining and information extraction
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