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1
Text as data : computational methods of understanding written expression using SAS
Bawa, Gurpreet Singh; De Ville, Barry. - New York : Wiley, 2022
BLLDB
UB Frankfurt Linguistik
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2
Multiagent Dynamics of Gradual Argumentation Semantics
In: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) ; 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) ; https://hal.archives-ouvertes.fr/hal-03584238 ; 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), May 2022, Auckland (virtual), New Zealand (2022)
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3
Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French
In: ISSN: 2561-326X ; JMIR Formative Research ; https://hal.archives-ouvertes.fr/hal-03614832 ; JMIR Formative Research, JMIR Publications 2022, 6 (2), pp.e18539. ⟨10.2196/18539⟩ ; https://formative.jmir.org/2022/2/e18539 (2022)
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4
Emotional Speech Recognition Using Deep Neural Networks
In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
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5
From Biological Synapses to “Intelligent” Robots
In: ISSN: 2079-9292 ; Electronics ; https://hal.archives-ouvertes.fr/hal-03590998 ; Electronics, MDPI, 2022, 11 (5), pp.707. ⟨10.3390/electronics11050707⟩ (2022)
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6
Multiagent Dynamics of Gradual Argumentation Semantics
In: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) ; 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) ; https://hal.archives-ouvertes.fr/hal-03584238 ; 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), May 2022, Auckland (virtual), New Zealand (2022)
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7
Question-Based Explainability in Abstract Argumentation
In: https://hal-univ-tlse3.archives-ouvertes.fr/hal-03647896 ; [Research Report] IRIT/RR--2022--01--FR, IRIT : Institut de Recherche en Informatique de Toulouse, France. 2022, pp.1-64 (2022)
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8
Meta-Analysis of the Functional Neuroimaging Literature with Probabilistic Logic Programming
In: https://hal.archives-ouvertes.fr/hal-03590714 ; 2022 (2022)
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9
An investigation of English-Irish machine translation and associated resources
Dowling, Meghan. - : Dublin City University. School of Computing, 2022. : Dublin City University. ADAPT, 2022
In: Dowling, Meghan orcid:0000-0003-1637-4923 (2022) An investigation of English-Irish machine translation and associated resources. PhD thesis, Dublin City University. (2022)
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10
Towards combined semantic and lexical scores based on a new representation of textual data to extract experimental data from scientific publications
In: ISSN: 1751-5858 ; EISSN: 1751-5866 ; International Journal of Intelligent Information and Database Systems ; https://hal.inrae.fr/hal-03616243 ; International Journal of Intelligent Information and Database Systems, Inderscience, 2022, 15 (1), pp.78. ⟨10.1504/IJIIDS.2022.120146⟩ (2022)
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11
Integrating a Phrase Structure Corpus Grammar and a Lexical-Semantic Network: the HOLINET Knowledge Graph
In: Proceedings of LREC 2022 ; https://hal-amu.archives-ouvertes.fr/hal-03655636 ; Proceedings of LREC 2022, Jun 2022, Marseille, France (2022)
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12
Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word Embeddings
In: LChange'22 - 3rd International Workshop on Computational Approaches to Historical Language Change 2022 ; https://hal.inria.fr/hal-03635005 ; LChange'22 - 3rd International Workshop on Computational Approaches to Historical Language Change 2022, May 2022, Dublin, Ireland (2022)
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13
Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-03578503 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore (2022)
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14
DeepL et Google Translate face à l'ambiguïté phraséologique
In: https://hal.archives-ouvertes.fr/hal-03583995 ; 2022 (2022)
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15
An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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16
The contextual logic
In: https://hal.archives-ouvertes.fr/hal-03195162 ; 2022 (2022)
Abstract: The propositional logic Lp is the smallest syntax that formalizes Aristotle's three principles. It is commonly accepted that it is insufficient to capture human reasoning. Many formalisms have been proposed to extend the modeling capabilities of formal languages. The most common approach is to extend or to impoverish the syntax of Lp. We propose, with the contextual logic Lc, to take a different path. It consists in automatically integrating into the set of atomic propositions of the language silent propositions, which we call thoughts. By identifying the formulae, they bring to the formalism a reflexive reasoning capacity. We use it to define a semantic interpretation function of models, which captures the notions of inconsistency and predicate. The contribution of Lc to the family of non-classical formalisms is that it models fallibilistic reasoning (an intelligent agent has no certainty and believes what seems justifiable to him) and perspectivist reasoning (his beliefs are obtained by summing up the beliefs he has from several disjoint perspectives). We illustrate the behavioral properties of the contextual logic by developing at length an example of application. It allows us to present how to use it in the framework of Symbolic Artificial Intelligence. ; La logique propositionnelle Lp est la plus petite syntaxe qui formalise les trois principes d'Aristote. Il est communément admis qu'elle est insuffisante pour capturer le raisonnement humain. De nombreux formalismes ont été proposés pour étendre les capacités de modélisation des langages formels. L’approche la plus souvent étudiée consiste à étendre ou à appauvrir la syntaxe de Lp. Nous proposons, avec la logique contextuelle Lc, d'emprunter une voie différente. Elle consiste à intégrer automatiquement dans l'ensemble des propositions atomiques du langage des propositions silencieuses, que nous appelons des pensées. En identifiant les formules, elles apportent au formalisme une capacité de raisonnement réflexif. Nous l'utilisons pour définir une fonction d’interprétation sémantique sur les modèles, qui capture les notions d'inconsistance et de prédicat. L’apport de Lc à la famille des formalismes non-classiques est qu'elle modélise le raisonnement faillibiliste (un agent intelligent n'a aucune certitude et croit ce qui lui semble justifiable) et le raisonnement perspectiviste (ses croyances sont obtenues en additionnant les croyances qu'il a de plusieurs perspectives disjointes). Nous illustrons les propriétés comportementales de la logique contextuelle en développant longuement un exemple d'application. Il nous permet de présenter comment l'utiliser dans le cadre de l'Intelligence Artificielle Symbolique.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]; [MATH.MATH-LO]Mathematics [math]/Logic [math.LO]; [SCCO.COMP]Cognitive science/Computer science; [SHS.PHIL]Humanities and Social Sciences/Philosophy
URL: https://hal.archives-ouvertes.fr/hal-03195162
https://hal.archives-ouvertes.fr/hal-03195162v4/document
https://hal.archives-ouvertes.fr/hal-03195162v4/file/The%20contextual%20logic.pdf
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17
Morphology in the Corsican Language Database (BDLC) : assessment and perspectives ; La morphologie dans la Banque de Données Langue Corse : bilan et perspectives
In: ISSN: 1638-9808 ; EISSN: 1765-3126 ; Corpus ; https://hal.archives-ouvertes.fr/hal-03591866 ; Corpus, Bases, Corpus, Langage - UMR 7320, 2022, Corpus et données en morpholgie, ⟨10.4000/corpus.7115⟩ ; https://journals.openedition.org/corpus/7115 (2022)
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18
Automatic generation of the complete vocal tract shape from the sequence of phonemes to be articulated
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.univ-lorraine.fr/hal-03650212 ; Speech Communication, Elsevier : North-Holland, 2022, ⟨10.1016/j.specom.2022.04.004⟩ (2022)
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19
A review of Earth Artificial Intelligence
Sun, Z; Sandoval, L; Crystal-Ornelas, R. - : eScholarship, University of California, 2022
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20
VEREINDEUTIGUNG ZUR KLASSIFIZIERUNG LEXIKALISCHER OBJEKTE ; DISAMBIGUATION FOR THE CLASSIFICATION OF LEXICAL ITEMS ; DÉSAMBÏGUISATION POUR LA CLASSIFICATION DE LEXÈMES
In: https://hal.archives-ouvertes.fr/hal-03598242 ; France, Patent n° : EP3937059A1. 2022 (2022)
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