Output details
11 - Computer Science and Informatics
University of Edinburgh
Article title
Discourse Constraints for Document Compression
Type
D - Journal article
Title of journal
Computational Linguistics
Article number
-
Volume number
36
Issue number
3
First page of article
411
ISSN of journal
0891-2017
Year of publication
2010
Number of additional authors
1
Additional information
<22> Originality: The first paper to show that integer linear programming can be used for generating compressed documents and to scale sentence compression to the document level.
Significance: Document compression has many important applications such as displaying text on small screen devices (e.g., PDAs) or as a reading aid for the blind. Sentence compression could also benefit information retrieval by eliminating extraneous information from the documents indexed by the search engine.
Rigour: The paper introduces a novel evaluation paradigm and a new dataset that has since been widely used in the summarization community.
Interdisciplinary
-
Cross-referral requested
-
Research group
D - Institute for Language, Cognition & Computation
Citation count
7
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
