273. Task 5. Keyphrase Extraction Based on Core Word Identification and Word Expansion
You Ouyang, Wenjie Li, Renxian Zhang · Meeting of the Association for Computational Linguistics · 2010
This paper provides a description of the Hong Kong Polytechnic University (PolyU) System that participated in the task #5 of SemEval-2, i.e., the Automatic Keyphrase Extraction from Scientific Articles task. We followed a novel framework to develop our keyphrase extraction system, motivated by differentiating the roles of the words in a keyphrase. We first identified the core words which are defined as the most essential words in the article, and then expanded the identified core words to the target keyphrases by a word expansion approach.