Using triangulation to identify word senses

Paul J. Roberts, Richard Mitchell, Virginie Ruiz
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