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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 – 7 of 7 1 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 2 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 3 Neural Machine Translation with Synchronous Latent Phrase Structure ... 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; Harada, Shintaro; Watanabe, Taro. - : Underline Science Inc., 2021 BASE Show details 4 Zero Pronouns Identification based on Span Prediction ... 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; Iwata, Sei; Nagata, Masaaki. - : Underline Science Inc., 2021 BASE Show details 5 User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization ... Higashiyama, Shohei; Utiyama, Masao; Watanabe, Taro; Sumita, Eiichiro. - : arXiv, 2021 Abstract: Morphological analysis (MA) and lexical normalization (LN) are both important tasks for Japanese user-generated text (UGT). To evaluate and compare different MA/LN systems, we have constructed a publicly available Japanese UGT corpus. Our corpus comprises 929 sentences annotated with morphological and normalization information, along with category information we classified for frequent UGT-specific phenomena. Experiments on the corpus demonstrated the low performance of existing MA/LN methods for non-general words and non-standard forms, indicating that the corpus would be a challenging benchmark for further research on UGT. ... : NAACL-HLT 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2104.03523 https://dx.doi.org/10.48550/arxiv.2104.03523 BASE Hide details 6 User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization ... NAACL 2021 2021; Higashiyama, Shohei; Sumita, Eiichiro. - : Underline Science Inc., 2021 BASE Show details 7 Substring-based machine translation Neubig, Graham; Watanabe, Taro; Mori, Shinsuke... In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 27 (2013) 2, 139-166 OLC Linguistik Show details

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