HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures
نویسنده
چکیده
This paper describes the approach of the Hochschule Hannover to the SemEval 2013 Task Evaluating Phrasal Semantics. In order to compare a single word with a two word phrase we compute various distributional similarities, among which a new similarity measure, based on Jensen-Shannon Divergence with a correction for frequency effects. The classification is done by a support vector machine that uses all similarities as features. The approach turned out to be the most successful one in the task.
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تاریخ انتشار 2013