KEA: practical automatic keyphrase extraction
Proceedings of the fourth ACM conference on Digital libraries
A formal study of information retrieval heuristics
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Coherent keyphrase extraction via web mining
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
CWS: a comparative web search system
Proceedings of the 15th international conference on World Wide Web
Automatic keyphrase extraction from scientific documents using N-gram filtration technique
Proceedings of the eighth ACM symposium on Document engineering
KP-Miner: A keyphrase extraction system for English and Arabic documents
Information Systems
Experiment Research on Feature Selection and Learning Method in Keyphrase Extraction
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
CollabRank: towards a collaborative approach to single-document keyphrase extraction
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Clustering to find exemplar terms for keyphrase extraction
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Visual summarization of web pages
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Structured data clouding across multiple webs
Information Systems
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Keyphrases can be used to facilitate Web users grasping the main topic(s) of a Web page. We present a practical system of automatic keyphrase extraction for Web pages. In this system, a regression model was first trained based on a set of human-labeled documents. Then it was used to extract keyphrases from new pages automatically. This paper makes three contributions. First, the structure information in a Web page was investigated for keyphrase extraction task. Second, the query log data associated with a Web page collected by a search engine server were used to help keyphrase extraction. Third, a method was put forward in this paper in order to evaluate the similarity of phrases.