Comparison of Automatic Keyphrase Extraction Systems in Scientific Papers
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چکیده
منابع مشابه
Comparison of Automatic Keyphrase Extraction Systems in Scientific Papers
Nowadays the amount of digital information that found in internet has considerably increased that is why online search is needed to automatically find the corresponding documents. These documents must be verified in order to know whether they contain the required information. A way to simplify the online search is using keywords or keyphrases since they act as filters within a search field. The...
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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 p...
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We tackle two major issues in automatic keyphrase extraction using scientific articles: candidate selection and feature engineering. To develop an efficient candidate selection method, we analyze the nature and variation of keyphrases and then select candidates using regular expressions. Secondly, we re-examine the existing features broadly used for the supervised approach, exploring different ...
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We present a keyphrase extraction algorithm for scientific publications. Different from previous work, we introduce features that capture the positions of phrases in document with respect to logical sections found in scientific discourse. We also introduce features that capture salient morphological phenomena found in scientific keyphrases, such as whether a candidate keyphrase is an acronyms o...
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ژورنال
عنوان ژورنال: Research in Computing Science
سال: 2016
ISSN: 1870-4069
DOI: 10.13053/rcs-115-1-15