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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 37 1 Neural machine translation with a polysynthetic low resource language [<Journal>] Ortega, John E. [Verfasser]; Castro Mamani, Richard [Verfasser]; Cho, Kyunghyun [Verfasser] DNB Subject Category Language Show details 2 Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Cho, Kyunghyun; Kim, Gyuwan. - : Underline Science Inc., 2021 BASE Show details 3 Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Yoonjung; Ahn, Seokchan. - : Underline Science Inc., 2021 BASE Show details 4 Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cho, Kyunghyun; Kim, Gyuwan. - : Underline Science Inc., 2021 BASE Show details 5 The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cho, Kyunghyun; Han, Jiawei. - : Underline Science Inc., 2021 BASE Show details 6 Comparing Test Sets with Item Response Theory ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bowman, Samuel R.; Cho, Kyunghyun. - : Underline Science Inc., 2021 BASE Show details 7 DEEP: DEnoising Entity Pre-training for Neural Machine Translation ... Hu, Junjie; Hayashi, Hiroaki; Cho, Kyunghyun. - : arXiv, 2021 BASE Show details 8 VisualSem: A High-quality Knowledge Graph for Vision and Language ... Alberts, Houda; Huang, Teresa; Deshpande, Yash. - : arXiv, 2020 BASE Show details 9 Learning to Learn Morphological Inflection for Resource-Poor Languages ... Kann, Katharina; Bowman, Samuel R.; Cho, Kyunghyun. - : arXiv, 2020 BASE Show details 10 Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning ... The 28th International Conference on Computational Linguistics 2020; Agirre, Eneko; Azkune, Gorka. - : Underline Science Inc., 2020 BASE Show details 11 Cold-start universal information extraction Huang, Lifu. - 2020 BASE Show details 12 AdapterHub: A Framework for Adapting Transformers Pfeiffer, Jonas; Ruckle, Andreas; Poth, Clifton. - : Association for Computational Linguistics, 2020. : Proceedings of the Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2020), 2020 BASE Show details 13 Neural Machine Translation with Byte-Level Subwords ... Wang, Changhan; Cho, Kyunghyun; Gu, Jiatao. - : arXiv, 2019 BASE Show details 14 Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations ... Gu, Jiatao; Wang, Yong; Cho, Kyunghyun. - : arXiv, 2019 BASE Show details 15 Emergent Linguistic Phenomena in Multi-Agent Communication Games ... Graesser, Laura; Cho, Kyunghyun; Kiela, Douwe. - : arXiv, 2019 BASE Show details 16 Countering Language Drift via Visual Grounding ... Lee, Jason; Cho, Kyunghyun; Kiela, Douwe. - : arXiv, 2019 Abstract: Emergent multi-agent communication protocols are very different from natural language and not easily interpretable by humans. We find that agents that were initially pretrained to produce natural language can also experience detrimental language drift: when a non-linguistic reward is used in a goal-based task, e.g. some scalar success metric, the communication protocol may easily and radically diverge from natural language. We recast translation as a multi-agent communication game and examine auxiliary training constraints for their effectiveness in mitigating language drift. We show that a combination of syntactic (language model likelihood) and semantic (visual grounding) constraints gives the best communication performance, allowing pre-trained agents to retain English syntax while learning to accurately convey the intended meaning. ... : Accepted to EMNLP 2019 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.1909.04499 https://arxiv.org/abs/1909.04499 BASE Hide details 17 Insertion-based Decoding with Automatically Inferred Generation Order Gu, Jiatao; Liu, Qi; Cho, Kyunghyun In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 661-676 (2019) (2019) BASE Show details 18 Meta-Learning for Low-Resource Neural Machine Translation ... Gu, Jiatao; Wang, Yong; Chen, Yun. - : arXiv, 2018 BASE Show details 19 Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding ... Huang, Lifu; Cho, Kyunghyun; Zhang, Boliang. - : arXiv, 2018 BASE Show details 20 From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042) Cho, Kyunghyun; Dyer, Chris; Blunsom, Phil. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2017. : Dagstuhl Reports. Dagstuhl Reports, Volume 7, Issue 1, 2017 BASE Show details Page: 1 2

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