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The impact of the Lombard effect on audio and visual speech recognition systems
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In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-01779704 ; Speech Communication, Elsevier : North-Holland, 2018, 100, pp.58-68. ⟨10.1016/j.specom.2018.04.006⟩ (2018)
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Hybrid Sentiment Classification of Reviews Using Synonym Lexicon and Word embedding
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In: ISSN: 1311-8080 ; EISSN: 1314-3395 ; International Journal of Pure and Applied Mathematics ; https://hal.archives-ouvertes.fr/hal-01826697 ; International Journal of Pure and Applied Mathematics, Academic Publishing Ltd, 2018, 119 (12e), pp.13297-13308 ; https://acadpubl.eu/hub/2018-119-12/issue12e.html (2018)
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Clinical Natural Language Processing in languages other than English: opportunities and challenges.
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In: ISSN: 2041-1480 ; Journal of Biomedical Semantics ; https://hal.archives-ouvertes.fr/hal-01842518 ; Journal of Biomedical Semantics, BioMed Central, 2018, 9, 13p. ⟨10.1186/s13326-018-0179-8⟩ (2018)
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Evaluation of the Terminology Coverage in the French Corpus LiSSa.
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In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.archives-ouvertes.fr/hal-01843039 ; Studies in Health Technology and Informatics, IOS Press, 2018, pp.126-130 (2018)
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Mining Patients' Narratives in Social Media for Pharmacovigilance: Adverse Effects and Misuse of Methylphenidate
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In: ISSN: 1663-9812 ; Frontiers in Pharmacology ; https://hal-normandie-univ.archives-ouvertes.fr/hal-02103689 ; Frontiers in Pharmacology, Frontiers, 2018, 9, pp.541. ⟨10.3389/fphar.2018.00541⟩ (2018)
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Between the Lines: Machine Learning for Prediction of Psychological Traits - A Survey
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In: Lecture Notes in Computer Science ; 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE) ; https://hal.inria.fr/hal-02060047 ; 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2018, Hamburg, Germany. pp.192-211, ⟨10.1007/978-3-319-99740-7_13⟩ (2018)
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A Combined CNN and LSTM Model for Arabic Sentiment Analysis
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In: Lecture Notes in Computer Science ; 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE) ; https://hal.inria.fr/hal-02060041 ; 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2018, Hamburg, Germany. pp.179-191, ⟨10.1007/978-3-319-99740-7_12⟩ (2018)
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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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Measuring Innovation in Speech and Language Processing Publications
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In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01840694 ; International Conference on Language Resources and Evaluation, European Language Resources Association (ELRA), May 2018, Miyazaki, Japan (2018)
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Linguistically-driven framework for computationally efficient and scalable sign recognition
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Scalable ASL sign recognition using model-based machine learning and linguistically annotated corpora
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Abstract:
We report on the high success rates of our new, scalable, computational approach for sign recognition from monocular video, exploiting linguistically annotated ASL datasets with multiple signers. We recognize signs using a hybrid framework combining state-of-the-art learning methods with features based on what is known about the linguistic composition of lexical signs. We model and recognize the sub-components of sign production, with attention to hand shape, orientation, location, motion trajectories, plus non-manual features, and we combine these within a CRF framework. The effect is to make the sign recognition problem robust, scalable, and feasible with relatively smaller datasets than are required for purely data-driven methods. From a 350-sign vocabulary of isolated, citation-form lexical signs from the American Sign Language Lexicon Video Dataset (ASLLVD), including both 1- and 2-handed signs, we achieve a top-1 accuracy of 93.3% and a top-5 accuracy of 97.9%. The high probability with which we can produce 5 sign candidates that contain the correct result opens the door to potential applications, as it is reasonable to provide a sign lookup functionality that offers the user 5 possible signs, in decreasing order of likelihood, with the user then asked to select the desired sign.
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Keyword:
American Sign Language (ASL); Artificial intelligence & image processing; Artificial intelligence and image processing; Cognitive science; Computer science; Computer vision; Data format; Linguistically annotated corpora; Model-based machine learning; Sign recognition
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URL: https://hdl.handle.net/2144/30049
http://lrec-conf.org/workshops/lrec2018/W1/pdf/book_of_proceedings.pdf
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NEW shared & interconnected ASL resources: SignStream® 3 Software; DAI 2 for web access to linguistically annotated video corpora; and a sign bank
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A framework for generating informative answers for Question Answering systems
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Losing Shahrazad: A Distant Reading of 1001 Nights
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In: Senior Projects Spring 2018 (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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Continuum of Compositionality and Formal Description
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In: I International Congress of Phraseology and Translation in Latin America ; https://hal.archives-ouvertes.fr/hal-01890449 ; I International Congress of Phraseology and Translation in Latin America, Sep 2018, Lima, Peru ; https://dti.ua.es/es/congreso-internacional-fraseologia-hispanoamerica/ingles/home-page.html (2018)
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Dictionaries for Under-Resourced Languages: from Published Files to Standardized Resources Available on the Web
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In: https://hal.archives-ouvertes.fr/hal-02056905 ; [Research Report] Laboratoire d'informatique de Grenoble. 2018 (2018)
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