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Using triangulation to identify word senses
2010
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems
Word sense disambiguation is the task of determining which sense of a word is intended from its context. Previous methods have found the lack of training data and the restrictiveness of dictionaries' choices of senses to be major stumbling blocks. A robust novel algorithm is presented that uses multiple dictionaries, the Internet, clustering and triangulation to attempt to discern the most useful senses of a given word and learn how they can be disambiguated. The algorithm is explained, and some promising sample results are given.
doi:10.1109/ukricis.2010.5898108
fatcat:xqzu77jsfjhpzazurx5rawqqma