Academic Paper |
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| 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 |
| Homepage: | http://www.cs.utoronto.ca/~gh/ |
| 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. |
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This article appears in Natural Language Engineering Vol. 18, Issue 3, which you can read on Cambridge's site . |
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