CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction
Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), page 969--976. Manchester, UK, Coling 2008 Organizing Committee, (August 2008)Description
Previous methods usually conduct the
keyphrase extraction task for single documents
separately without interactions for
each document, under the assumption
that the documents are considered independent
of each other. This paper proposes
a novel approach named CollabRank
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 clustering
algorithm to obtain appropriate
document clusters, and then using the
graph-based ranking algorithm for collaborative
single-document keyphrase extraction
within each cluster. Experimental
results demonstrate the encouraging performance
of the proposed approach. Different
clustering algorithms have been
investigated and we find that the system
performance relies positively on the quality
of document clusters.
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