Paper: Graph-Based Keyword Extraction for Single-Document Summarization

ACL ID W08-1404
Title Graph-Based Keyword Extraction for Single-Document Summarization
Venue Coling 2008: Proceedings of the workshop Multi-source Multilingual Information Extraction and Summarization
Year 2008

In this paper, we introduce and compare between two novel approaches, supervised and unsupervised, for identifying the key- words to be used in extractive summa- rization of text documents. Both our ap- proaches are based on the graph-based syntactic representation of text and web documents, which enhances the traditional vector-space model by taking into account some structural document features. In the supervised approach, we train classifica- tion algorithms on a summarized collec- tion of documents with the purpose of inducing a keyword identification model. In the unsupervised approach, we run the HITS algorithm on document graphs under the assumption that the top-ranked nodes should represent the document keywords. Our experiments on a collection of bench- mark summaries show that gi...