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Automatic keyphrase extraction techniques play an important role for many tasks including indexing, categorizing, summarizing, and searching. In this paper, we develop and evaluate an automatic keyphrase extraction system for scientific documents. Compared with previous work, our system concentrates on two important issues: (1) more precise location for potential keyphrases: a new candidate phrase...
In this paper, we develop and evaluate an automatic keyphrase extraction technique for scientific documents. A new candidate phrase generation method is proposed based on the core word expansion algorithm, which can reduce the size of candidate set by about 75% without increasing the computational complexity. Then in the step of feature calculation, when a phrase and its sub-phrases coexist as candidates,...
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