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Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora
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In: Artificial Intelligence XXXVII 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings ; https://hal.archives-ouvertes.fr/hal-03108194 ; Artificial Intelligence XXXVII 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings, 12498, pp.317-330, 2020, Lecture Notes in Computer Science book series (LNCS), ⟨10.1007/978-3-030-63799-6_24⟩ ; https://link.springer.com/chapter/10.1007%2F978-3-030-63799-6_24 (2020)
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An incomplete knowledge compilation map for conditional preference statements-based languages
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In: Journées d'Intelligence Artificielle Fondamentale 2020 ; https://hal.archives-ouvertes.fr/hal-02943925 ; Journées d'Intelligence Artificielle Fondamentale 2020, AFIA : Association Française pour l'Intelligence Artificielle, Jul 2020, Angers, France. pp.1-10 ; pfia2020.fr/jiaf-2020/ (2020)
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An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis
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In: Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Language Resources and Evaluation Conference, LREC 2020 ; https://hal.archives-ouvertes.fr/hal-03102495 ; 12th Language Resources and Evaluation Conference, LREC 2020, May 2020, Marseille, France. pp.1202-1210 ; https://www.aclweb.org/anthology/2020.lrec-1.151/ (2020)
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Experimental Evaluation of Three Value Recommendation Methods in Interactive Configuration
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In: Journal of Universal Computer Science ; https://hal.archives-ouvertes.fr/hal-02997329 ; Journal of Universal Computer Science, Springer, 2020, 26 (3), pp.318-342 (2020)
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Multilingual Irony Detection with Dependency Syntax and Neural Models
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In: Proceedings of the 28th International Conference on Computational Linguistics ; 28th International Conference on Computational Linguistics (COLING 2020) ; https://hal.archives-ouvertes.fr/hal-03102480 ; 28th International Conference on Computational Linguistics (COLING 2020), Dec 2020, Barcelona (Online), Spain. pp.1346-1358 ; https://www.aclweb.org/anthology/2020.coling-main.116/ (2020)
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Irony Detection in a Multilingual Context
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In: ECIR ; https://hal.archives-ouvertes.fr/hal-02889008 ; ECIR, Apr 2020, online, Portugal (2020)
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| 27 |
Entity Linking for Historical Documents: Challenges and Solutions
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In: 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020 ; https://hal.archives-ouvertes.fr/hal-03034492 ; 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, 12504, Springer, pp.215-231, 2020, Lecture Notes in Computer Science, 978-3-030-64452-9. ⟨10.1007/978-3-030-64452-9_19⟩ (2020)
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Robust Named Entity Recognition and Linking on Historical Multilingual Documents
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In: Conference and Labs of the Evaluation Forum (CLEF 2020) ; https://hal.archives-ouvertes.fr/hal-03026969 ; Conference and Labs of the Evaluation Forum (CLEF 2020), Sep 2020, Thessaloniki, Greece. pp.1-17, ⟨10.5281/zenodo.4068074⟩ ; http://ceur-ws.org/Vol-2696/paper_171.pdf (2020)
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Linking Named Entities across Languages using Multilingual Word Embeddings
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In: JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020 ; ACM/IEEE Joint Conference on Digital Libraries - JCDL 2020 ; https://hal.archives-ouvertes.fr/hal-03026933 ; ACM/IEEE Joint Conference on Digital Libraries - JCDL 2020, Aug 2020, Wuhan, Hubei - Virtual event, China. pp.329-332, ⟨10.1145/3383583.3398597⟩ ; https://dl.acm.org/doi/10.1145/3383583.3398597 (2020)
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| 30 |
Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project
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In: CIRCLE 2020 ; https://hal.archives-ouvertes.fr/hal-02877780 ; CIRCLE 2020, Iván Cantador; Max Chevalier; Massimo Melucci; Josiane Mothe, Jul 2020, Samatan, France ; http://ceur-ws.org/Vol-2621/ (2020)
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Pluralities, Collectives, and Composites
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In: Formal Ontology in Information Systems, Proceedings of the 11th International Conference (FOIS 2020) ; https://hal.archives-ouvertes.fr/hal-03082789 ; Boyan Brodaric; Fabian Neuhaus. Formal Ontology in Information Systems, Proceedings of the 11th International Conference (FOIS 2020), 330, IOS Press, pp.186-200, 2020, Frontiers in Artificial Intelligence and Applications, 0922-6389. ⟨10.3233/FAIA200671⟩ ; http://www.loa.istc.cnr.it/wp-content/uploads/2020/12/FAIA-330-FAIA200671.pdf (2020)
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| 32 |
He said “who’s gonna take care of your children when you are at ACL?”: Reported Sexist Acts are Not Sexist
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03046097 ; Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Online, United States. pp.4055-4066, ⟨10.18653/v1/2020.acl-main.373⟩ ; https://acl2020.org/ (2020)
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Interests of using Automatic Speech recognition for Speech-Language Therapists
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In: World Congress of the International Association of Logopedics and Phoniatrics ; https://hal.archives-ouvertes.fr/hal-03012571 ; World Congress of the International Association of Logopedics and Phoniatrics, IALP : International Association of Logopedics and Phoniatrics, Aug 2019, Taipei, Taiwan. pp.(electronic medium) ; http://www.ialptaipei2019.org/ (2019)
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Abstract:
International audience ; Automatic Speech Recognition systems use signal processing and machine learning in order to achieve speech transcriptions. Some analogies can be done with human speech recognition, but ASR use models that are much less complex than human brain. After a brief history of evolution of systems, the state of the art of ASR systems will be presented. The performance on various type of speech will be analyzed over various speech processing engines (from industrial and academic). One of the advantages of such system consists of the rapid production of transcripts that can raise the perspectives of analyses. Examples on automatization of speech task of verbal fluency of EVOLEX project will be given: logopedists and researchers benefit from advances with this kind of automatic treatments. Other advantage consist of the objectivity that automatic processing can give. For example, in C2SI project, in assessments for measuring the intelligibility of patients treated for ENT cancer, ASR can provide such advantage of a pool of speech therapist evaluations. Therapists can have subjective judgments of general speech intelligibility as they are used to ear the modifications of patient voice. Many aspects of voice can be analyzed with automatic processing tools: acoustics, prosody, comprehensibility. The main inconvenient of using ASR systems concerns the reliability and usage limits. Severe pathological voices infer very bad performance of automatic systems. The enhanced of recognition on such voice is not easy as state of the art systems necessitate thousand of hours of labeled speech in order to complete the learning process. We do not dispose of such amount of atypical voiced in order to improve the performances of ASR systems. Analyses must rely on extraction of cues in a more specific way. Speech Processing becomes to a certain degree of maturity. The use of such systems can transform some methodologies in voice treatment. The impact of these techniques do not have to be discarded and therapists can benefit to these evolutions.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; automatic speech analyses; automatic speech recognition; pathological speech
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URL: https://hal.archives-ouvertes.fr/hal-03012571
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| 34 |
Characterizing the Expressivity of Game Description Languages
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In: PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26–30, 2019, Proceedings ; https://hal.archives-ouvertes.fr/hal-03594792 ; PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26–30, 2019, Proceedings, 11670, Springer International Publishing, pp.597-611, 2019, Lecture Notes in Computer Science book series, 978-3-030-29907-1. ⟨10.1007/978-3-030-29908-8_47⟩ ; https://link.springer.com/chapter/10.1007/978-3-030-29908-8_47 (2019)
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| 35 |
Analogy between concepts
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In: ISSN: 0004-3702 ; Artificial Intelligence ; https://hal.inria.fr/hal-02186292 ; Artificial Intelligence, Elsevier, 2019, 275, pp.487-539. ⟨10.1016/j.artint.2019.06.008⟩ ; https://www.sciencedirect.com/science/article/pii/S0004370218301863 (2019)
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Towards the Prediction of Semantic Complexity Based on Concept Graphs ; Vers la prédiction de complexité sémantique fondée sur les graphes de concepts
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In: 12th International Conference on Educational Data Mining (EDM 2019) ; https://hal.archives-ouvertes.fr/hal-02315319 ; 12th International Conference on Educational Data Mining (EDM 2019), Jul 2019, Montreal, Canada. pp.188-197 ; educationaldatamining.org/EDM2019/ (2019)
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Discovery of linguistic units using unsupervised learning methods ; Découverte d'unités linguistiques à l'aide de méthodes d'apprentissage non supervisé
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In: https://tel.archives-ouvertes.fr/tel-02893779 ; Intelligence artificielle [cs.AI]. Université Paul Sabatier - Toulouse III, 2019. Français. ⟨NNT : 2019TOU30074⟩ (2019)
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Graph-Based Approaches to Structural Universals and Complex States of Affairs
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In: Frontiers in Artificial Intelligence and Applications, vol. 306 ; 10th International Conference on Formal Ontology in Information Systems (FOIS 2018) ; https://hal.archives-ouvertes.fr/hal-02089294 ; 10th International Conference on Formal Ontology in Information Systems (FOIS 2018), Sep 2018, Cape Town, South Africa. pp.69-82 (2018)
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Complex matching based on competency questions for alignment: a first sketch (short paper)
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In: International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (OM@ISWC'18 2018), Monterey, 08/10/18 ; https://hal.archives-ouvertes.fr/hal-02102382 ; International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (OM@ISWC'18 2018), Monterey, 08/10/18, Oct 2018, Monterey, United States. pp.(on line) (2018)
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Voice and Speech Perception: Human vs Automatic: How can Computer Speech Recognition be used ?
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In: https://hal.archives-ouvertes.fr/hal-02983148 ; 2018 (2018)
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