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UCD-PN: selecting general paraphrases using conditional probability

Nulty, Paul and Costello, Fintan J. (2010) UCD-PN: selecting general paraphrases using conditional probability. In: Proceeding SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation, 2010-07-15 - 2010-07-16.

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Abstract

We describe a system which ranks human-provided paraphrases of noun compounds, where the frequency with which a given paraphrase was provided by human volunteers is the gold standard for ranking. Our system assigns a score to a paraphrase of a given compound according to the number of times it has co-occurred with other paraphrases in the rest of the dataset. We use these co-occurrence statistics to compute conditional probabilities to estimate a sub-typing or Is-A relation between paraphrases. This method clusters together paraphrases which have similar meanings and also favours frequent, general paraphrases rather than infrequent paraphrases with more specific meanings.

Item Type: Conference or Workshop Item (Paper)
Official URL: http://www.aclweb.org/policies
Additional Information: © 2010 Association for Computational Linguistics
Divisions: Methodology
Subjects: C Auxiliary Sciences of History > C Auxiliary sciences of history (General)
C Auxiliary Sciences of History > CC Archaeology
JEL classification: C - Mathematical and Quantitative Methods > C6 - Mathematical Methods and Programming > C63 - Computational Techniques
Sets: Departments > Methodology
Date Deposited: 08 Jul 2014 16:09
Last Modified: 20 Apr 2019 00:12
Projects: ANALOGY: Humans the Analogy-Making Species: STREP Contr. No 029088
Funders: FP6 NEST Programme of the European Commission
URI: http://eprints.lse.ac.uk/id/eprint/57583

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