论文信息 - Serelex: Search and Visualization of Semantically Related Words

Serelex: Search and Visualization of Semantically Related Words

We present Serelex, a system that provides, given a query in English, a list of semantically related words. The terms are ranked according to an original semantic similarity measure learnt from a huge corpus. The system performs comparably to dictionary-based baselines, but does not require any semantic resource such as WordNet. Our study shows that users are completely satisfied with 70% of the query results.

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