References to named entities: a corpus study

Authors:
Ani Nenkova;Kathleen McKeown
Affiliations:
Columbia University, New York, NY;Columbia University, New York, NY
Venue:
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Year:
2003

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Abstract

References included in multi-document summaries are often problematic. In this paper, we present a corpus study performed to derive a statistical model for the syntactic realization of referential expressions. The interpretation of the probabilistic data helps us gain insight on how extractive summaries can be rewritten in an efficient manner to produce more fluent and easy-to-read text.