Analysis of a very large web search engine query log
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Semeval-2007 task 02: evaluating word sense induction and discrimination systems
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This paper investigates the new problem of automatic sense induction for instance names using automatically extracted attribute sets. Several clustering strategies and data sources are described and evaluated. We also discuss the drawbacks of the evaluation metrics commonly used in similar clustering tasks. The results show improvements in most metrics with respect to the baselines, especially for polysemous instances.