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A Formal Model for Information Selection in Multi-Sentence Text Extraction

Filatova, Elena; Hatzivassiloglou, Vasileios

Selecting important information while accounting for repetitions is a hard task for both summarization and question answering. We propose a formal model that represents a collection of documents in a two-dimensional space of textual and conceptual units with an associated mapping between these two dimensions. This representation is then used to describe the task of selecting textual units for a summary or answer as a formal optimization task. We provide approximation algorithms and empirically validate the performance of the proposed model when used with two very different sets of features, words and atomic events.

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More About This Work

Academic Units
Computer Science
Publisher
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Published Here
May 30, 2013
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