Paper: CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction

ACL ID C08-1122
Title CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

Previous methods usually conduct the keyphrase extraction task for single docu- ments separately without interactions for each document, under the assumption that the documents are considered inde- pendent of each other. This paper pro- poses a novel approach named Col- labRank to collaborative single-document keyphrase extraction by making use of mutual influences of multiple documents within a cluster context. CollabRank is implemented by first employing the clus- tering algorithm to obtain appropriate document clusters, and then using the graph-based ranking algorithm for col- laborative single-document keyphrase ex- traction within each cluster. Experimental results demonstrate the encouraging per- formance of the proposed approach. Dif- ferent clustering algorithms have bee...