Kornel Kiełczewski


2019

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Cross-lingual intent classification in a low resource industrial setting
Talaat Khalil | Kornel Kiełczewski | Georgios Christos Chouliaras | Amina Keldibek | Maarten Versteegh
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

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.