Contextual Word Similarity

We propose a new measure of semantic similarity between words in context, which exploits the syntactic/semantic structure of the context surrounding each target word. For a given pair of target …...

Most word representation methods assume that each word owns a single semantic vec- tor. This is usually problematic because lexical ambiguity is ubiquitous, which is also the problem to be …...

AbstractWith the aid of recently proposed word embedding algorithms, the study of semantic similarity has progressed and advanced rapidly. However, many natural language processing tasks need sense level representation. To …...