Output details
11 - Computer Science and Informatics
Open University
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Output title
A methodology for automatic identification of nocuous ambiguity
Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
The 23rd International Conference on Computational Linguistics (Coling 2010)
Volume number
-
Issue number
-
First page of article
1218
ISSN of proceedings
-
Year of publication
2010
Number of additional authors
3
Additional information
<22>This paper describes the creation and analysis of an original dataset, which demonstrates for the first time that nocuous ambiguity occurs in pronoun resolution ambiguity. Several original mechanisms are used to improve the computational performance of the system: the use of a range of machine learning techniques, and an in-depth analysis of how weak thresholds (an original idea in this paper) can be used to accurately identify which sentences display nocuous ambiguity. The work's significance is in showing that nocuous ambiguity occurs in the heavily-studied area of anaphora resolution, and that it can be automatically identified.
Interdisciplinary
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Cross-referral requested
-
Research group
None
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
