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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 – 13 of 13 1 Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing Ponti, Edoardo,; O 'horan, Helen; Berzak, Yevgeni; Vulic, Ivan; Reichart, Roi; Poibeau, Thierry; Shutova, Ekaterina; Korhonen, Anna In: https://hal.archives-ouvertes.fr/hal-01856176 ; 2018 (2018) Abstract: Addressing the cross-lingual variation of grammatical structures and meaning categorization is a key challenge for multilingual Natural Language Processing. The lack of resources for the majority of the world's languages makes supervised learning not viable. Moreover, the performance of most algorithms is hampered by language-specific biases and the neglect of informative multilingual data. The discipline of Linguistic Typology provides a principled framework to compare languages systematically and empirically and documents their variation in publicly available databases. These enshrine crucial information to design language-independent algorithms and refine techniques devised to mitigate the above-mentioned issues, including cross-lingual transfer and multilingual joint models, with typological features. In this survey, we demonstrate that typology is beneficial to several NLP applications, involving both semantic and syntactic tasks. Moreover, we outline several techniques to extract features from databases or acquire them automatically: these features can be subsequently integrated into multilingual models to tie parameters together cross-lingually or gear a model towards a specific language. Finally, we advocate for a new typology that accounts for the patterns within individual examples rather than entire languages, and for graded categories rather than discrete ones, in oder to bridge the gap with the contextual and continuous nature of machine learning algorithms. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SCCO]Cognitive science; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; Language typology; Machine learning; Natural Language Processing URL: https://hal.archives-ouvertes.fr/hal-01856176 https://hal.archives-ouvertes.fr/hal-01856176/document https://hal.archives-ouvertes.fr/hal-01856176/file/1807.00914.pdf BASE Hide details 2 SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations Lim, Kyungtae; Park, Cheoneum; Lee, Changki... In: Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies ; https://hal.archives-ouvertes.fr/hal-02977455 ; Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Oct 2018, Bruxelles, Belgium. pp.143-152, ⟨10.18653/v1/K18-2014⟩ ; https://www.conll.org/2018/ (2018) BASE Show details 3 Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-Zyrian Lim, KyungTae; Partanen, Niko; Poibeau, Thierry In: LREC 2018 Proceedings ; Language Resource and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01856178 ; Language Resource and Evaluation Conference, ELRA, May 2018, Miyazaki, Japan ; http://www.lrec-conf.org/proceedings/lrec2018/pdf/600.pdf (2018) BASE Show details 4 Dependency Parsing of Code-Switching Data with Cross-Lingual Feature Representations Partanen, Niko; Lim, KyungTae; Rießler, Michael... In: International Workshop on Computational Linguistics for Uralic Languages ; https://hal.archives-ouvertes.fr/hal-01722243 ; International Workshop on Computational Linguistics for Uralic Languages, Jan 2018, Helsinki, Finland. pp.1 - 17 ; aclweb.org/anthology/W18-0200 (2018) BASE Show details 5 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 6 Language, Cognition, and Computational Models Poibeau, Thierry; Villavicencio, Aline. - : HAL CCSD, 2018. : Cambridge University Press, 2018 In: https://hal.archives-ouvertes.fr/hal-01722351 ; Cambridge University Press, 2018 ; https://www.cambridge.org/core/books/language-cognition-and-computational-models/90CC7DBA6CADB1FE361266D311CB4413 (2018) BASE Show details 7 Introduction: Cognitive Issues in Natural Language Processing Poibeau, Thierry; Villavicencio, Aline In: Language, Cognition, and Computational Models ; https://hal.archives-ouvertes.fr/hal-01722353 ; Language, Cognition, and Computational Models, Cambridge University Press, 2018, 9781316676974 ; https://doi.org/10.1017/9781316676974 (2018) BASE Show details 8 Universal Dependencies 2.3 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 9 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 10 CoNLL 2018 Shared Task System Outputs Zeman, Daniel; Potthast, Martin; Duthoo, Elie. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018 BASE Show details 11 Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing ... Ponti, Edoardo Maria; O'Horan, Helen; Berzak, Yevgeni. - : arXiv, 2018 BASE Show details 12 Dependency Parsing of Code-Switching Data with Cross-Lingual Feature Representations Lim, Kyungtae; Poibeau, Thierry; Rießler, Michael... In: International Workshop on Computational Linguistics for Uralic languages. - Helsinki, ISBN: (2018) BASE Show details 13 Rating Distributions and Bayesian Inference. Enhancing Cognitive Models of Spatial Language Use Schultheis, Holger; Poibeau, Thierry; Lenci, Alessandro. - : Association for Computational Linguistics, 2018 BASE Show details

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