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Intuitive multimodal interaction and predictable behavior for the museum tour guide robot Robotinho., , , and . Humanoids, page 653-658. IEEE, (2010)Data Balancing for Boosting Performance of Low-Frequency Classes in Spoken Language Understanding., , and . INTERSPEECH, page 1560-1564. ISCA, (2020)Neural Named Entity Recognition from Subword Units., and . INTERSPEECH, page 2663-2667. ISCA, (2019)To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?, , , and . COLING, page 2699-2709. International Committee on Computational Linguistics, (2020)Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned?, , , and . EMNLP (Industry Track), page 121-127. Association for Computational Linguistics, (2022)Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding., and . EMNLP/IJCNLP (1), page 1455-1460. Association for Computational Linguistics, (2019)Cross-lingual Transfer Learning for Japanese Named Entity Recognition., , , and . NAACL-HLT (2), page 182-189. Association for Computational Linguistics, (2019)Towards the emergence of verb-general constructions and early representations for verb entries: Insights from a computational model., , and . CogSci, cognitivesciencesociety.org, (2014)Cross-lingual Transfer Learning for Spoken Language Understanding., and . ICASSP, page 5956-5960. IEEE, (2019)The Impact of Intent Distribution Mismatch on Semi-Supervised Spoken Language Understanding., , , and . Interspeech, page 4708-4712. ISCA, (2021)