Conférences - Traitement automatique des langues, Linguistique informatique

Under the auspices of FoLLI the European Summer School in Logic, Language, and Information (ESSLLI) is organized every year in a different European country. It takes place over two weeks in the European Summer, hosts approximately 50 different courses at both the introductory and advanced levels, attracting around 400 participants each year from all the world. The main focus of the program of the summer schools is the interface between linguistics, logic and computation, with special emphasis in human linguistic and cognitive ability.

Théorie de l'information, fondations de l'informatique,    Formation en informatique

Funded by the European Research Council

The field of natural language semantics has undergone what some refer to as an ‘experimental turn’ and is arguably currently undergoing a ‘computational turn’. By expanding the toolbox available to the semanticist, these two turns have the effect of expanding the phenomena that can be explained and the varieties of semantic explanation that can be offered. For example, experimental methods can help distinguish between alternative explanations of semantic effects, e.g. whether to classify controversial phenomena as implicatures or presuppositions. Similarly, computational models of semantics can generate fine-grained and non-categorical predictions that can fruitfully be tested experimentally. And both kinds of methods can be used to ask questions about the emergence of semantic structures in language, including which factors influence their distribution and typology. Given this wider toolbox and purview, we aim to gather a workshop to showcase exciting new work that develops new semantic explanations using experimental and computational methods, as well as to invite broader reflection on the methodology of semantics now and in its future. Topics of potential interest include but are not limited to: * Experimental semantics and pragmatics * Graded/non-categorical semantic theories and explanations * Information-theoretic measures and explanations in semantics and pragmatics * Semantic universals * Learnability and evolution of semantics and pragmatics * Bayesian approaches to semantics and pragmatics * Probing neural models for learned semantic representations * Semantics in emergent communication protocols * The methodology of semantics We invite anonymized submission of abstracts of 2 pages (12 pt font; 1in or 2.5cm margins) — with an extra page for references of figures — on new research on topics related to those listed above by February 15.

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Cours et évènements pour étudiants en mathématiques

Funded by the European Research Council

The field of natural language semantics has undergone what some refer to as an ‘experimental turn’ and is arguably currently undergoing a ‘computational turn’. By expanding the toolbox available to the semanticist, these two turns have the effect of expanding the phenomena that can be explained and the varieties of semantic explanation that can be offered. For example, experimental methods can help distinguish between alternative explanations of semantic effects, e.g. whether to classify controversial phenomena as implicatures or presuppositions. Similarly, computational models of semantics can generate fine-grained and non-categorical predictions that can fruitfully be tested experimentally. And both kinds of methods can be used to ask questions about the emergence of semantic structures in language, including which factors influence their distribution and typology. Given this wider toolbox and purview, we aim to gather a workshop to showcase exciting new work that develops new semantic explanations using experimental and computational methods, as well as to invite broader reflection on the methodology of semantics now and in its future.

Experimental semantics and pragmatics * Graded/non-categorical semantic theories and explanations * Information-theoretic measures and explanations in semantics and pragmatics * Semantic universals * Learnability and evolution of semantics and pragmatics * Bayesian approaches to semantics and pragmatics * Probing neural models for learned semantic representations * Semantics in emergent communication protocols * The methodology of semantics

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Cours et évènements pour étudiants en mathématiques

ETLTC & ACM Chapter on Elearning and Technical Communication

ETLTC2020-Virtual is an initiative of the ACM Chapter on Elearning and Technical Communication and the Technical Communication Lab based out of the Center for Language Research, Dept of Computer Science at the University of Aizu, Japan. The ETLTC 2020-Virtual theme – Educational Technology and Technology Assisted Language Learning addresses the collaboration between the use of technology in global education and language studies. The idea of this conference is to foster a global communication platform that aims to discuss technology-assisted language learning and teaching and customer satisfaction worldwide in all other uses of educational technology. This is an opportunity to create synergy between educators and industry professionals across a wide spectrum of applications. The conference’s two cross-cutting themes are designed to help unpack the interrelations of quality education, use of technology for academic and industrial learning, and the technical communication that will help people understand the details of the use of such technology through the lenses of linguists and technical communicators, consumers of technology, customers who handle e-commerce technologies and interfaces that lead to learning; teachers including corporate trainers; education specialists, school and corporate leadership, and school and corporate governance. ETLTC's community of educational researchers, policymakers, and practitioners increasingly recognize that educational and industrial challenges in the use of technology, language and communication are getting increasingly complex, dynamic and multidimensional. ETLTC will, therefore, create a platform for exchange, learning, and collaboration between professionals who are working directly in the industry or in close association with it, and traditional faculty and students who work with different educational technologies in daily life. This platform will also allow us to understand how to bridge the gap between what we teach in our classes, and how useful it is in real life industry (transfer skills).

Conference Chair;     Tél.: [+810242372585];     Email.: etltc.conf@gmail.com

Computer Assisted Language Learning, Technical Communication, Technical Communication, Design, eLearning, Educational Technology

Enseignement assisté par ordinateur,    Formation en informatique

CIRM – Centre International de Rencontres Mathématiques

Cours et évènements pour étudiants en mathématiques,    Mathématiques appliquées (en général)

SemEval has evolved from the SensEval word sense disambiguation evaluation series. The SemEval wikipedia entry and the ACL SemEval Wiki provide a more detailed historical overview. SemEval-2020 will be the 14th workshop on semantic evaluation.

Reconnaissance de formes et traitement d'image, vision par ordinateur,    Soft computing, algorithmes évolutionnaires, domaine des métaheuristiques, logique floue

INTERSPEECH has grown into the world's largest technical conference focused on speech processing and application with over 1000 attendees and over 600 papers. The conferences emphasize interdisciplinary approaches addressing all aspects of speech science and technology, ranging from basic theories to advanced applications.

The International workshop on artificial intelligence for natural language processing (AI&NLP’20) will be held in conjunction with The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN) November 2-5, 2020, Madeira, Portugal. The aim is also to provide an overview of recent advances applications and challenges in artificial intelligence, natural language processing and artificial intelligence for NLP. Furthermore, this workshop offers an opportunity for researchers and practitioners to identify new promising research directions as well as to present the latest achievements, ideas and innovations in this area.

Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Reinforcement Learning, Computer Vision for textual Data, Recommender Systems, Sentiment Analysis, Speech recognition

Slavic Department of Leipzig University

Computational Linguistics; General Linguistics; Language Acquisition; Psycholinguistics; Semantics

Recently, deep learning methods have been increasingly applied on spoken language technologies, including signal processing, language understanding and generation, dialogue management, as well as joint optimisations of these (end-to-end learning). However, such methods still have limitations and it is not yet clear that deep learning and joint optimisation is the key to the future. Encompassing the current deep learning trends and traditional knowledge-based methods, SLT's 2020 main theme will be around "Spoken language technologies: deep learning and beyond".

Institute of Information Technology, Vietnam

In the past years, Vietnam Fuzzy Systems Society (VFSS) organized successfully many artificial intelligence and fuzzy systems in such as VJFUZZY'98, MIF'99, VJFUZZY'2001, VJMEDIMAG'2001, Intech/VJFuzzy'2002, AFSS'2004, VN-KR MEDINFO'2005. In January of 2020, we organized successfully AICI’2020 at the Thang Long University, Vietnam. In the next year, the Second International Conference on Artificial Intelligence and Computational Intelligence (AICI 2021), 15-16 January, 2021, will be organized by Institute of Information Technology, Vietnam Academy of Science and Technology with the sponsor of the International Fuzzy Systems Association (IFSA). This conference aims at bringing together researchers in Artificial Intelligence and Computational Intelligence and related topics for an opportunity to present and discuss theoretical and applied research problems as well as to foster research collaborations.

Artificial Intelligence, Big Data, Deep Learning with Biomedical & other Applications

Soft computing, algorithmes évolutionnaires, domaine des métaheuristiques, logique floue,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

Sponsored by the National Science Foundation (U.S.), the Social Sciences and Humanities Research Council (Canada), as well as the University of Alberta, University of British Columbia, the University of Buffalo, the University of Colorado, Boulder, the Un

The ComputEL-4 workshop will focus on the use of computational methods in the study, support, and revitalization of endangered languages. The primary aim of the workshop is to continue narrowing the gap between computational linguists interested in working on methods for endangered languages, field linguists working on documenting these languages, and the language communities who are striving to maintain their languages.

IEEE Signal Processing Society

Reconnaissance de formes et traitement d'image, vision par ordinateur,    Acoustique et vibrations

IEEE Signal Processing Society

Reconnaissance de formes et traitement d'image, vision par ordinateur,    Acoustique et vibrations