Word sense discrimination is an unsupervised clustering problem, which seeks to discover which instances of a word/s are used in the same meaning. This is done strictly based on i...
Unsupervised word sense discrimination relies on the idea that words that occur in similar contexts will have similar meanings. These techniques cluster multiple contexts in which...
This paper presents an unsupervised method for discriminating among the senses of a given target word based on the context in which it occurs. Instances of a word that occur in si...
There have been many proposals to compute similarities between words based on their distributions in contexts. However, these approaches do not distinguish between synonyms and an...
It is relatively common for different people or organizations to share the same name. Given the increasing amount of information available online, this results in the ever growing...