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Roget’s Thesaurus is a lexical resource which groups terms by semantic relatedness. It is Roget’s shortcoming that the relations are ambiguous, in that it does not name them; it only shows that there is a relation between terms. Our work focuses on disambiguating hypernym relations within Roget’s Thesaurus. Several techniques of identifying hypernym relations are compared and contrasted...
The clustering of related words is crucial for a variety of Natural Language Processing applications. Many known techniques of word clustering use the context of a word to determine its meaning. Words which frequently appear in similar contexts are assumed to have similar meanings. Word clustering usually applies the weighting of contexts, based on some measure of their importance. One of the most...
Evaluation is one of the hardest tasks in automatic text summarization. It is perhaps even harder to determine how much a particular component of a summarization system contributes to the success of the whole system. We examine how to evaluate the sentence ranking component using a corpus which has been partially labelled with Summary Content Units. To demonstrate this technique, we apply it to the...