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Addressing Overgeneration Error: An Effective and Effcient Approach to Keyphrase Extraction from Scientific Papers

Haofeng Jia, Erik Saule
2018 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval  
Experiments on two datasets show our approach significantly alleviates the overgeneration error and obtains improvement in performance over stateof-the-art keyphrase extraction approaches.  ...  Existing unsupervised methods suffer from overgeneration error, since they typically identify key "words" and then return phrases that contain keywords as keyphrases.  ...  Conclusion and Future Work In this paper, we presented KeyPhraser, an unsupervised keyphrase extraction approach for scientific papers addressing overgeneration error.  ... 
dblp:conf/sigir/JiaS18 fatcat:jounq4cj3fax3elknrxuqmfcui