Kaveh Taghipour

One Million Sense-Tagged Instances for Word Sense Disambiguation and Induction

2015

Supervised word sense disambiguation (WSD) systems are usually the best performing systems when evaluated on standard benchmarks. However, these systems need annotated training data to function properly. While there are some publicly available open source …

Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains

2015

One of the weaknesses of current supervised word sense disambiguation (WSD) systems is that they only treat a word as a discrete entity. However, a continuous-space representation of words (word embeddings) can provide valuable information …