273. Task 5. Keyphrase extraction based on core word identification and word expansion

Authors:
You Ouyang;Wenjie Li;Renxian Zhang
Affiliations:
The Hong Kong Polytechnic University;The Hong Kong Polytechnic University;The Hong Kong Polytechnic University
Venue:
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Year:
2010

Citing 4
Cited 1

Thesaurus based automatic keyphrase indexing

Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Domain-independent automatic keyphrase indexing with small training sets

Journal of the American Society for Information Science and Technology
Single document keyphrase extraction using neighborhood knowledge

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Domain-specific keyphrase extraction

IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2

Automatic keyphrase extraction from scientific articles

Language Resources and Evaluation

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.