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Disambiguation of "Rottmann, Kay"

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Unsupervised training data re-weighting for natural language understanding with local distribution approximation.

, , , , and . EMNLP (Industry Track), page 154-160. Association for Computational Linguistics, (2022)

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Kay Rottmann

Robert Rottmann

Margarete Rottmann

Regina Rottmann

Sabine Rottmann

 

Other publications of authors with the same name

Training data reduction for multilingual Spoken Language Understanding systems., , , , and . ICON, page 298-306. NLP Association of India (NLPAI), (2021)The Massively Multilingual Natural Language Understanding 2022 (MMNLU-22) Workshop and Competition., , , and . CoRR, (2022)A Survey on Knowledge Editing of Neural Networks., , , , and . CoRR, (2023)Word reordering in statistical machine translation with a POS-based distortion model., and . TMI, (2007)MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages., , , , , , , , , and 6 other author(s). ACL (1), page 4277-4302. Association for Computational Linguistics, (2023)Semi-supervised Adversarial Text Generation based on Seq2Seq models., , , , , , and . EMNLP (Industry Track), page 254-262. Association for Computational Linguistics, (2022)Unsupervised training data re-weighting for natural language understanding with local distribution approximation., , , , and . EMNLP (Industry Track), page 154-160. Association for Computational Linguistics, (2022)Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses., , , , , , and . ACL (industry), page 235-247. Association for Computational Linguistics, (2023)MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages., , , , , , , , , and 6 other author(s). CoRR, (2022)