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Output details

11 - Computer Science and Informatics

Open University

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Output 23 of 110 in the submission
Article title

Automatic identification of nocuous ambiguity

Type
D - Journal article
Title of journal
Research on Language and Computation
Article number
-
Volume number
6
Issue number
3-4
First page of article
355
ISSN of journal
1570-7075
Year of publication
2008
Number of additional authors
2
Additional information

<22>This paper gives the first formal definition of nocuous ambiguity to a natural language processing (NLP) audience. The work breaks clearly from traditional accounts of ambiguity in NLP, by defining ambiguity as a property of a group of interpreters, rather than as a property of the text itself. The paper gives the theoretical underpinnings of nocuous ambiguity, with an empirical demonstration that nocuous ambiguity occurs and that it is possible to predict when language might be misunderstood. The ideas in the paper led to the Matrex project, the top-ranked EPSRC bid in the June 2008 panel.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
8
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-