Paper: Automatic Domain Assignment for Word Sense Alignment

ACL ID D14-1046
Title Automatic Domain Assignment for Word Sense Alignment
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

This paper reports on the development of a hy- brid and simple method based on a machine learning classifier (Naive Bayes), Word Sense Disambiguation and rules, for the automatic assignment of WordNet Domains to nominal entries of a lexicographic dictionary, the Senso Comune De Mauro Lexicon. The system ob- tained an F1 score of 0.58, with a Precision of 0.70. We further used the automatically as- signed domains to filter out word sense align- ments between MultiWordNet and Senso Co- mune. This has led to an improvement in the quality of the sense alignments showing the validity of the approach for domain assign- ment and the importance of domain informa- tion for achieving good sense alignments.