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Multilingual and Cross-Lingual Intent Detection from Spoken Data ...
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Multilingual and Cross-Lingual Intent Detection from Spoken Data ...
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The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gerz, Daniela; Kusztos, Razvan; Lis, Michał; Mondal, Avishek; Mrkšić, Nikola; Singhal, Eshan; Su, Pei-Hao; Vulić, Ivan; Wen, Tsung-Hsien. - : Underline Science Inc., 2021
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.591/ Abstract: We present a systematic study on multilingual and cross-lingual intent detection (ID) from spoken data. The study leverages a new resource put forth in this work, termed MInDS-14, a first training and evaluation resource for the ID task with spoken data. It covers 14 intents extracted from a commercial system in the e-banking domain, associated with spoken examples in 14 diverse language varieties. Our key results indicate that combining machine translation models with state-of-the-art multilingual sentence encoders (e.g., LaBSE) yield strong intent detectors in the majority of target languages covered in MInDS-14, and offer comparative analyses across different axes: e.g., translation direction, impact of speech recognition, data augmentation from a related domain. We see this work as an important step towards more inclusive development and evaluation of multilingual ID from spoken data, hopefully in a much wider spectrum of ...
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URL: https://dx.doi.org/10.48448/tznr-dq87
https://underline.io/lecture/37837-multilingual-and-cross-lingual-intent-detection-from-spoken-data
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