SJTULTLAB: Chunk Based Method for Keyphrase Extraction
Letian Wang, Li Fang · 2010
In this paper we present a chunk based keyphrase extraction method for scientific articles. Different from most previous systems, supervised machine learning algorithms are not used in our system. Instead, document structure information is used to remove unimportant contents; Chunk extraction and filtering is used to reduce the quantity of candidates; Keywords are used to filter the candidates before generating final keyphrases. Our experimental results on test data show that the method works better than the baseline systems and is comparable with other known algorithms. 1