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Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams.

, , , , , и . CoRR, (2016)

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Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams., , , , , и . CoRR, (2016)Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity., , , , и . EMNLP (Findings), стр. 12858-12870. Association for Computational Linguistics, (2023)Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models., , , , и . ICLR, OpenReview.net, (2024)Correcting Length Bias in Neural Machine Translation., и . WMT, стр. 212-223. Association for Computational Linguistics, (2018)The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains., , и . EMNLP, стр. 170-183. Association for Computational Linguistics, (2022)Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task., , и . NGT@EMNLP-IJCNLP, стр. 297-301. Association for Computational Linguistics, (2019)An Empirical Exploration of Curriculum Learning for Neural Machine Translation., , , , , , , , и . CoRR, (2018)Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models., , , , и . CoRR, (2023)Findings of the IWSLT 2022 Evaluation Campaign., , , , , , , , , и 33 other автор(ы). IWSLT@ACL, стр. 98-157. Association for Computational Linguistics, (2022)The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References., , , , , , , , , и . WMT@ACL, стр. 70-77. The Association for Computer Linguistics, (2013)