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

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.