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Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
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In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02975786 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2020, 46 (4), pp.847-897 ; https://direct.mit.edu/coli/article/46/4/847/97326/Multi-SimLex-A-Large-Scale-Evaluation-of (2020)
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Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
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In: Conference of the Association for the Advancement of Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-02895835 ; Conference of the Association for the Advancement of Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Feb 2020, New York, United States ; https://aaai.org/Conferences/AAAI-20/ (2020)
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Abstract:
International audience ; Multi-view learning makes use of diverse models arising from multiple sources of input or different feature subsets for the same task. For example, a given natural language processing task can combine evidence from models arising from character, morpheme, lexical, or phrasal views. The most common strategy with multi-view learning, especially popular in the neural network community, is to unify multiple representations into one unified vector through concatenation, averaging, or pooling , and then build a single-view model on top of the unified representation. As an alternative, we examine whether building one model per view and then unifying the different models can lead to improvements, especially in low-resource scenarios. More specifically, taking inspiration from co-training methods, we propose a semi-supervised learning approach based on multi-view models through consensus promotion, and investigate whether this improves overall performance. To test the multi-view hypothesis, we use moderately low-resource scenarios for nine languages and test the performance of the joint model for part-of-speech tagging and dependency parsing. The proposed model shows significant improvements across the test cases, with average gains of −0.9 ∼ +9.3 labeled attachment score (LAS) points. We also investigate the effect of unlabeled data on the proposed model by varying the amount of training data and by using different domains of unlabeled data.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; [SHS.LANGUE]Humanities and Social Sciences/Linguistics
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URL: https://hal.archives-ouvertes.fr/hal-02895835 https://hal.archives-ouvertes.fr/hal-02895835/document https://hal.archives-ouvertes.fr/hal-02895835/file/Cometa_AAAI20.pdf
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Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity
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In: 11th International Conference on Computational Creativity (ICCC’20) ; https://hal.archives-ouvertes.fr/hal-02977153 ; 11th International Conference on Computational Creativity (ICCC’20), Sep 2020, Coimbra, Portugal ; http://computationalcreativity.net/iccc20/ (2020)
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Babel 2.0. Où va la traduction automatique ?
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In: https://hal.archives-ouvertes.fr/hal-02265228 ; Odile Jacob, 2019, 9782738148490 ; https://www.odilejacob.fr/catalogue/sciences-humaines/linguistique-psycholinguistique/babel-20_9782738148490.php (2019)
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"A Novel of Character": Towards the Automatic Annotation of Characters in a Large Corpus of French Novels
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In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE «CORPUS LINGUISTICS–2019 ; International Conference on Corpus Linguistics 2019 ; https://hal.archives-ouvertes.fr/hal-02265134 ; International Conference on Corpus Linguistics 2019, Jun 2019, Saint Petersbourg, Russia ; https://events.spbu.ru/eventsContent/events/2019/corpora/corp_sborn.pdf (2019)
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
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In: https://hal.archives-ouvertes.fr/hal-01856176 ; 2018 (2018)
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Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-Zyrian
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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)
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Language, Cognition, and Computational Models
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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)
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Introduction: Cognitive Issues in Natural Language Processing
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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)
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UDLex: Towards Cross-language Subcategorization Lexicons
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In: Proceedings of the Fourth International Conference on Dependency Linguistics ; Fourth International Conference on Dependency Linguistics (Depling 2017) ; https://hal.archives-ouvertes.fr/hal-01856180 ; Fourth International Conference on Dependency Linguistics (Depling 2017), University of Pisa, Sep 2017, Pise, Italy (2017)
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Machine Translation
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In: https://hal.archives-ouvertes.fr/hal-01674140 ; MIT Press, 2017, 9780262534215 ; https://mitpress.mit.edu/books/machine-translation-0 (2017)
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Lexical Knowledge Acquisition: Towards a Continuous and Flexible Representation of the Lexicon
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In: Workshop on Cognitive Knowledge Acquisition and Applications ; https://hal.archives-ouvertes.fr/hal-01420714 ; Workshop on Cognitive Knowledge Acquisition and Applications, Jul 2016, New York, United States ; http://cognitum.ws/ (2016)
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Exploring Natural Language Processing Methods for Finno-Ugric Langages
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In: Second International Workshop on Computational Linguistics for Uralic Languages ; https://hal.archives-ouvertes.fr/hal-01273769 ; Second International Workshop on Computational Linguistics for Uralic Languages, Jan 2016, Szeged, Hungary (2016)
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Traduire sans comprendre ? La place de la sémantique en traduction automatique
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In: ISSN: 0458-726X ; EISSN: 1958-9549 ; Langages ; https://hal.archives-ouvertes.fr/hal-01273768 ; Langages, Armand Colin (Larousse jusqu'en 2003), 2016, 201 (2016)
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The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour
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In: COLING 2016, the 26th International Conference on Computational Linguistics ; 26th International Conference on Computational Linguistics (COLING 2016) ; https://hal.archives-ouvertes.fr/hal-01422478 ; 26th International Conference on Computational Linguistics (COLING 2016), Dec 2016, Osaka, Japan. pp.1646 - 1656 ; http://www.aclweb.org/anthology/C/C16/C16-1155.pdf (2016)
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Lexical Knowledge Acquisition: Towards a Continuous and Flexible Representation of the Lexicon
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In: Workshop on Cognitive Knowledge Acquisition and Applications ; https://hal.archives-ouvertes.fr/hal-01420714 ; Workshop on Cognitive Knowledge Acquisition and Applications, Jul 2016, New York, United States ; http://cognitum.ws/ (2016)
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Combining Open Source Annotators for Entity Linking through Weighted Voting
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In: Joint Conference on Lexical and Computational Semantics (*SEM 2015) ; https://hal.archives-ouvertes.fr/hal-01173967 ; Joint Conference on Lexical and Computational Semantics (*SEM 2015), Association for Computational Linguistics, Jun 2015, Denver, United States. pp.211-215 (2015)
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EL92: Entity Linking Combining Open Source Annotators via Weighted Voting
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In: 9th International Workshop on Semantic Evaluation (SemEval 2015) ; https://hal.archives-ouvertes.fr/hal-01173968 ; 9th International Workshop on Semantic Evaluation (SemEval 2015), Association for Computational Linguistics, Jun 2015, Denver, United States. pp.355-359 (2015)
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Archaeology in the Digital Age: From Paper to Databases
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In: Digital Humanities 2015 ; https://hal.archives-ouvertes.fr/hal-01173964 ; Digital Humanities 2015, Jun 2015, Sydney, Australia (2015)
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Visualizing Data for Digital humanities ; Visualizing Data for Digital humanities: Producing Semantic Maps with Information extracted from Corpora and other Media
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In: https://hal.archives-ouvertes.fr/hal-01173965 ; Jun 2015, Sydney, Australia. 2015, Proceedings of the conference "Digital Humanities 2015" (2015)
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