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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 Hits 1 – 11 of 11 1 Signed Coreference Resolution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Yin, Kayo. - : Underline Science Inc., 2021 BASE Show details 2 Including Signed Languages in Natural Language Processing ... Yin, Kayo; Moryossef, Amit; Hochgesang, Julie; Goldberg, Yoav; Alikhani, Malihe. - : arXiv, 2021 Abstract: Signed languages are the primary means of communication for many deaf and hard of hearing individuals. Since signed languages exhibit all the fundamental linguistic properties of natural language, we believe that tools and theories of Natural Language Processing (NLP) are crucial towards its modeling. However, existing research in Sign Language Processing (SLP) seldom attempt to explore and leverage the linguistic organization of signed languages. This position paper calls on the NLP community to include signed languages as a research area with high social and scientific impact. We first discuss the linguistic properties of signed languages to consider during their modeling. Then, we review the limitations of current SLP models and identify the open challenges to extend NLP to signed languages. Finally, we urge (1) the adoption of an efficient tokenization method; (2) the development of linguistically-informed models; (3) the collection of real-world signed language data; (4) the inclusion of local signed ... : ACL 2021 Best Theme Paper ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://arxiv.org/abs/2105.05222 https://dx.doi.org/10.48550/arxiv.2105.05222 BASE Hide details 3 Including Signed Languages in Natural Language Processing ... 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; Alikhani, Malihe; Goldberg, Yoav. - : Underline Science Inc., 2021 BASE Show details 4 When Does Translation Require Context? A Data-driven, Multilingual Exploration ... Yin, Kayo; Fernandes, Patrick; Martins, André F. T.. - : arXiv, 2021 BASE Show details 5 Measuring and Increasing Context Usage in Context-Aware Machine Translation ... 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; Fernandes, Patrick; Martins, Andre. - : Underline Science Inc., 2021 BASE Show details 6 Data Augmentation for Sign Language Gloss Translation ... Moryossef, Amit; Yin, Kayo; Neubig, Graham. - : arXiv, 2021 BASE Show details 7 Do Context-Aware Translation Models Pay the Right Attention? ... Yin, Kayo; Fernandes, Patrick; Pruthi, Danish. - : arXiv, 2021 BASE Show details 8 When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection ... Chaudhary, Aditi; Yin, Kayo; Anastasopoulos, Antonios. - : arXiv, 2021 BASE Show details 9 When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Anastasopoulos, Antonios; Chaudhary, Aditi. - : Underline Science Inc., 2021 BASE Show details 10 Do Context-Aware Translation Models Pay the Right Attention? ... 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; Chaudhary, Aditi; Fernandes, Patrick. - : Underline Science Inc., 2021 BASE Show details 11 Better Sign Language Translation with STMC-Transformer ... Yin, Kayo; Read, Jesse. - : arXiv, 2020 BASE Show details

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