Lexical Sense Alignment using Weighted Bipartite b-Matching

Lexical resources are important components of natural language processing (NLP) applications providing linguistic information about the vocabulary of a language and the semantic relationships between the words. While there is an increasing number of lexical resources, particularly expert-made ones such as WordNet or FrameNet as well as collaboratively- curated ones such as Wikipedia1 or Wiktionary2 , manual construction and maintenance of such resources is a cumbersome task. This can be efficiently addressed by NLP techniques. Aligned resources have shown to improve word, knowledge and domain coverage and increase multilingualism by creating new lexical resources such as Yago , BabelNet and ConceptNet In addition, they can improve the performance of NLP tasks such as word sense disambiguation semantic role tagging and semantic relations extraction.