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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.

🧭 Keyword Pioneer — example sentence extraction
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning

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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