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Genetic Neural Architecture Search for automatic assessment of human sperm images
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In: ISSN: 0957-4174 ; Expert Systems with Applications ; https://hal.archives-ouvertes.fr/hal-03585035 ; Expert Systems with Applications, Elsevier, 2022 (2022)
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Guide d’annotation syntaxique Orféo (version Platinum)
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In: https://halshs.archives-ouvertes.fr/halshs-01740488 ; 2021 (2021)
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On the Role of Low-Level Linguistic Tasks for Reading Time Prediction
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, 43(43) ; 43rd Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-03303689 ; 43rd Annual Meeting of the Cognitive Science Society, Jul 2021, Vienna, Austria. pp.452 ; https://cognitivesciencesociety.org/cogsci-2021/ (2021)
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On the Role of Low-level Linguistic Levels for Reading Time Prediction
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies
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In: The 17th International Conference on Parsing Technologies ; https://hal.archives-ouvertes.fr/hal-03328439 ; The 17th International Conference on Parsing Technologies, Aug 2021, Bangkok (virtual), Thailand (2021)
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TALEP at CMCL 2021 Shared Task: Non Linear Combination of Low and High-Level Features for Predicting Eye-Tracking Data
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In: Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics ; Workshop on Cognitive Modeling and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03312501 ; Workshop on Cognitive Modeling and Computational Linguistics, Association for Computational Linguistics, Jun 2021, Online, Mexico. pp.108-113, ⟨10.18653/v1/2021.cmcl-1.13⟩ (2021)
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The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies ...
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On the Role of Low-level Linguistic Levels for Reading Time Prediction ...
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Abstract:
It has been shown that complexity metrics, computed by a syntactic parser, is a predictor of human reading time, which is an approximation of human sentence comprehension difficulty. Nevertheless, parsers usually take as input sentences that have already been processed or even manually annotated. We propose to study a more realistic scenario, where the various processing levels (tokenization, PoS and morphology tagging, lemmatization, syntactic parsing and sentence segmentation) are predicted incrementally from raw text. To this end, we propose a versatile modeling framework, we call the Reading Machine, that performs all such linguistic tasks and allows to incorporate cognitive constrains such as incrementality. We illustrate the behavior of this setting through a case study where we test the hypothesis that the complexity metrics computed at different processing levels predicts human reading difficulty, and that when cognitive constraints are applied to the machine (e.g., incrementality), it yields better ...
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Keyword:
Cognitive Science
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URL: https://underline.io/lecture/26717-on-the-role-of-low-level-linguistic-levels-for-reading-time-prediction
https://dx.doi.org/10.48448/cw2a-es33
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On the Role of Low-level Linguistic Levels for Reading Time Prediction ...
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Annotation syntaxique automatique de la partie orale du CEFC ; Annotation syntaxique automatique de la partie orale du CÉFC
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In: ISSN: 0458-726X ; EISSN: 1958-9549 ; Langages ; https://hal.archives-ouvertes.fr/hal-02973242 ; Langages, Armand Colin (Larousse jusqu'en 2003), 2020 (2020)
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SLICE: Supersense-based Lightweight Interpretable Contextual Embeddings
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In: The 28th International Conference on Computational Linguistics (COLING 2020) ; https://hal.archives-ouvertes.fr/hal-03017741 ; The 28th International Conference on Computational Linguistics (COLING 2020), Dec 2020, Barcelona (on line), Spain (2020)
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Annotation syntaxique automatique de la partie orale du ORFÉO
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In: Langages, N 219, 3, 2020-08-11, pp.87-102 (2020)
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Visual Disambiguation of Preprositional Phrase Attachments : Multimodal Machine Learning for Syntactic Analysis Correction
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In: Advances in Computational Intelligence 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019 ; IWANN: International Work-Conference on Artificial Neural Networks ; https://hal.archives-ouvertes.fr/hal-02465051 ; IWANN: International Work-Conference on Artificial Neural Networks, Jun 2019, Gran Canaria, Spain. ⟨10.1007/978-3-030-20521-8_52⟩ (2019)
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| 14 |
Typological Features for Multilingual Delexicalised Dependency Parsing
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In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-02278897 ; 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Jun 2019, Minneapolis, United States. pp.3919-3930, ⟨10.18653/v1/N19-1393⟩ (2019)
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Handling Normalization Issues for Part-of-Speech Tagging of Online Conversational Text
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In: LREC proceedings ; Eleventh International Conference on Language Resources and Evaluation (LREC 2018) ; https://hal.archives-ouvertes.fr/hal-01943391 ; Eleventh International Conference on Language Resources and Evaluation (LREC 2018), 2018, Miyazaki, Japan (2018)
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Dialog Acts Annotations for Online Chats ; Annotation en Actes de Dialogue pour les Conversations d’Assistance en Ligne
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In: Actes TALN-RECITAL 2018 ; 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-01943345 ; 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), 2018, Rennes, France (2018)
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Correction automatique d'attachements prépositionnels par utilisation de traits visuels
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In: 25ème conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-01832979 ; 25ème conférence sur le Traitement Automatique des Langues Naturelles, May 2018, Rennes, France (2018)
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| 18 |
Adding Syntactic Annotations to Flickr30k Entities Corpus for Multimodal Ambiguous Prepositional-Phrase Attachment Resolution
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In: 11th edition of the Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01832930 ; 11th edition of the Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan (2018)
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Distributional models of multiword expression compositionality prediction ; Modelos distribucionais para a predição de composicionalidade de expressões multipalavras
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TAG Parsing with Neural Networks and Vector Representations of Supertags
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In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, ; Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01771494 ; Conference on Empirical Methods in Natural Language Processing, Sep 2017, Copenhague, Denmark. pp.1712 - 1722 (2017)
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