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Academic Paper

Title: Exploring patterns in dictionary definitions for synonym extraction
Author: Tong Wang
Institution: University of Toronto
Author: Graeme Hirst
Email: click here TO access email
Institution: University of Toronto
Linguistic Field: Computational Linguistics
Abstract: Automatic determination of synonyms and/or semantically related words has various applications in Natural Language Processing. Two mainstream paradigms to date, lexicon-based and distributional approaches, both exhibit pros and cons with regard to coverage, complexity, and quality. In this paper, we propose three novel methods—two rule-based methods and one machine learning approach—to identify synonyms from definition texts in a machine-readable dictionary. Extracted synonyms are evaluated in two extrinsic experiments and one intrinsic experiment. Evaluation results show that our pattern-based approach achieves best performance in one of the experiments and satisfactory results in the other, comparable to corpus-based state-of-the-art results.


This article appears IN Natural Language Engineering Vol. 18, Issue 3, which you can READ on Cambridge's site .

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