HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures

Autor: Christian Wartena
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Scopus-Elsevier
DOI: 10.25968/opus-2077
Popis: 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.
Databáze: OpenAIRE