Cross-lingual intent classification in a low resource industrial setting
Published in
Oct 18, 2019
Published in EMNLP 2019 by Talaat Khalil, Kornel Kielczewski, George Chouliaras, Amina Keldibek and Maarten Versteegh
This paper explores different approaches to multilingual intent classification in a low resource setting. Recent advances in multilingual text representations promise cross-lingual transfer for classifiers. We investigate the potential for this transfer in an applied industrial setting and compare to multilingual classification using machine translated text. Our results show that while the recently developed methods show promise, practical application calls for a combination of techniques for useful results.
