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2017 EACL EACL 2017

A tool for extracting sense-disambiguated example sentences through user feedback

Abstract

AbstractThis paper describes an application system aimed to help lexicographers in the extraction of example sentences for a given headword based on its different senses. The tool uses classification and clustering methods and incorporates user feedback to refine its results.

Authors

Beto Boullosa, Richard Eckart de Castilho, Alexander Geyken, Lothar Lemnitzer, Iryna Gurevych

Topics

Machine Learning > Core Methods > Classification Machine Learning > Core Methods > Clustering Machine Learning > Learning Types > Active Learning

Keywords

user feedback sense disambiguation example sentence extraction classification method
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