Abstract

We introduce an approach to word sense dis-ambiguation and entity linking that combines a set of complementary objectives in an exten-sible multi-objective formalism. During dis-ambiguation the system performs continuous optimization to find optimal probability dis-tributions over candidate senses. Verb senses are disambiguated using a separate neural net-work model. Our results on noun and verb sense disambiguation as well as entity linking outperform all other submissions on the Se-mEval 2015 Task 13 for English. 1