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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 3 4 5...17 Hits 1 – 20 of 324 1 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 2 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ... 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; ., Yuji; Watanabe, Taro. - : Underline Science Inc., 2021 BASE Show details 5 French Geolinguistics and Linguistic Atlases From nascency to the status quo ... KAWAGUCHI, Yuji; ITO, Reiko; SEIMIYA, Takamasa. - : Zenodo, 2021 BASE Show details 6 French Geolinguistics and Linguistic Atlases From nascency to the status quo ... KAWAGUCHI, Yuji; ITO, Reiko; SEIMIYA, Takamasa. - : Zenodo, 2021 BASE Show details 7 Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path ... 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; ., Yuji; Shindo, Hiroyuki. - : Underline Science Inc., 2021 BASE Show details 8 Engage the Public: Poll Question Generation for Social Media Posts ... 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; Ding, Keyang; Li, Jing. - : Underline Science Inc., 2021 BASE Show details 9 #HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zhang, Yuji. - : Underline Science Inc., 2021 BASE Show details 10 A Geolinguistic Analysis of "Oie" and "Jars" - Evidence from the Atlas Linguistique de la France - ... SEIMIYA, Takamasa; ITO, Reiko; KAWAGUCHI, Yuji. - : Zenodo, 2021 BASE Show details 11 A Geolinguistic Analysis of "Oie" and "Jars" - Evidence from the Atlas Linguistique de la France - ... SEIMIYA, Takamasa; ITO, Reiko; KAWAGUCHI, Yuji. - : Zenodo, 2021 BASE Show details 12 Structural Equation Modeling of Tongue Function and Tongue Hygiene in Acute Stroke Patients Rena Hidaka; Junichi Furuya; Akira Nishiyama... In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 9 (2021) BASE Show details 13 Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Yuji; Baldwin, Timothy; Iwata, Tomoharu; Lau, Jey Han; Wada, Takashi. - : Underline Science Inc., 2021 Abstract: We propose a new approach for learning contextualised cross-lingual word embeddings based on a small parallel corpus (e.g. a few hundred sentence pairs). Our method obtains word embeddings via an LSTM encoder-decoder model that simultaneously translates and reconstructs an input sentence. Through sharing model parameters among different languages, our model jointly trains the word embeddings in a common cross-lingual space. We also propose to combine word and subword embeddings to make use of orthographic similarities across different languages. We base our experiments on real-world data from endangered languages, namely Yongning Na, Shipibo-Konibo, and Griko. Our experiments on bilingual lexicon induction and word alignment tasks show that our model outperforms existing methods by a large margin for most language pairs. These results demonstrate that, contrary to common belief, an encoder-decoder translation model is beneficial for learning cross-lingual representations even in extremely low-resource ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Speech Processing URL: https://dx.doi.org/10.48448/d3e5-gv03 https://underline.io/lecture/39650-learning-contextualised-cross-lingual-word-embeddings-and-alignments-for-extremely-low-resource-languages-using-parallel-corpora BASE Hide details 14 A Proposed Dedicated Breast PET Lexicon: Standardization of Description and Reporting of Radiotracer Uptake in the Breast Miyake, Kanae K.; Kataoka, Masako; Ishimori, Takayoshi... In: Diagnostics (Basel) (2021) BASE Show details 15 Structural Equation Modeling of Tongue Function and Tongue Hygiene in Acute Stroke Patients Hidaka, Rena; Furuya, Junichi; Nishiyama, Akira... In: Int J Environ Res Public Health (2021) BASE Show details 16 Treatment outcomes of real-time intraoral sonography-guided implantation technique of (198)Au grain brachytherapy for T1 and T2 tongue cancer Konishi, Masaru; Fujita, Minoru; Takeuchi, Yuki... In: J Radiat Res (2021) BASE Show details 17 Evaluation of Social Cognition Measures for Japanese Patients with Schizophrenia Using an Expert Panel and Modified Delphi Method Okano, Hiroki; Kubota, Ryotaro; Okubo, Ryo... In: J Pers Med (2021) BASE Show details 18 Validation of the General Medicine in-Training Examination Using the Professional and Linguistic Assessments Board Examination Among Postgraduate Residents in Japan Nagasaki, Kazuya; Nishizaki, Yuji; Nojima, Masanori... In: Int J Gen Med (2021) BASE Show details 19 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 20 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details Page: 1 2 3 4 5...17

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