1. Annie Foret and Denis Béchet. On Categorial Grammatical Inference and Logical Information Systems. In Logic and Algorithms in Computational Linguistics 2018, Series: Advances in Intelligent Systems and Computing, Studies in Computational Intelligence. 2019. [WWW] Abstract:

   In this chapter, learning is viewed as a symbolic issue in an unsupervised setting,from raw or from structured data, for some variants of Lambek grammars and of categorial dependency grammars. For these frameworks, the authors present different type connectives and structures, some limitations, and some algorithms. On the experimental side, categorial grammar has potentials as a particular case of Logical Information System.

   
   

   @incollection{foret:hal-02462675,
   TITLE = {{On Categorial Grammatical Inference and Logical Information Systems}},
   AUTHOR = {Foret, Annie and B{\'e}chet, Denis},
   URL = {https://hal.inria.fr/hal-02462675v1},
   BOOKTITLE = {{Logic and Algorithms in Computational Linguistics 2018, Series: Advances in Intelligent Systems and Computing}},
   SERIES = {Studies in Computational Intelligence},
   YEAR = {2019},
   Abstract={In this chapter, learning is viewed as a symbolic issue in an unsupervised setting,from raw or from structured data, for some variants of Lambek grammars and of categorial dependency grammars. For these frameworks, the authors present different type connectives and structures, some limitations, and some algorithms. On the experimental side, categorial grammar has potentials as a particular case of Logical Information System. },
   
   }
   

1. Alex Chauvet and Annie Foret. Systèmes d'information pour les chercheurs en droit. In Colloque des Convergences du Droit et du Numérique, Actes du colloque des Convergences du droit et du numérique, Bordeaux, France, July 2019. Université de Bordeaux. [WWW] [PDF] Keyword(s): Droit, Numérique, Convergences.
   

   @inproceedings{foret:2019a,
   TITLE = {{Systèmes d'information pour les chercheurs en droit}},
   AUTHOR = {Chauvet, Alex and Foret, Annie},
   URL = {https://hal.inria.fr/hal-02195921},
   BOOKTITLE = {{Colloque des Convergences du Droit et du Num{\'e}rique}},
   ADDRESS = {Bordeaux, France},
   ORGANIZATION = {{Universit{\'e} de Bordeaux}},
   SERIES = {Actes du colloque des Convergences du droit et du num{\'e}rique},
   YEAR = {2019},
   MONTH = Jul,
   KEYWORDS = {Droit ; Num{\'e}rique ; Convergences},
   PDF = {https://hal.inria.fr/hal-02195921/file/actes_cdn_colloque_2017.pdf},
   
   }
   




2. Sébastien Ferré. Link Prediction in Knowledge Graphs with Concepts of Nearest Neighbours. In Pascal Hitzler, Miriam Fernández, Krzysztof Janowicz, Amrapali Zaveri, Alasdair J. G. Gray, Vanessa López, Armin Haller, and Karl Hammar, editors, The Semantic Web (ESWC), LNCS 11503, pages 84-100, 2019. Springer. [WWW] [doi:10.1007/978-3-030-21348-0_6] Keyword(s): semantic web, link prediction, nearest neighbours, similarity, graph pattern, concept.
   

   @inproceedings{Fer2019eswc,
   author = {Sébastien Ferré},
   title = {Link Prediction in Knowledge Graphs with Concepts of Nearest Neighbours},
   booktitle = {The Semantic Web ({ESWC})},
   pages = {84--100},
   year = {2019},
   url = {https://hal.inria.fr/hal-02281789},
   doi = {10.1007/978-3-030-21348-0\_6},
   editor = {Pascal Hitzler and Miriam Fern{\'{a}}ndez and Krzysztof Janowicz and Amrapali Zaveri and Alasdair J. G. Gray and Vanessa L{\'{o}}pez and Armin Haller and Karl Hammar},
   series = {LNCS 11503},
   publisher = {Springer},
   keywords = {semantic web, link prediction, nearest neighbours, similarity, graph pattern, concept},
   
   }
   




3. Sébastien Ferré. Prédiction de liens dans les graphes de connaissances avec les concepts de plus proches voisins. In Marie-Christine Rousset and Lydia Boudjeloud-Assala, editors, Extraction et Gestion des connaissances (EGC), volume E-35 of RNTI, pages 69-80, 2019. Hermann-Éditions. [WWW] Keyword(s): semantic web, link prediction, nearest neighbours, similarity, graph pattern, concept.
   

   @inproceedings{Fer2019egc,
   author = {Sébastien Ferré},
   title = {Prédiction de liens dans les graphes de connaissances avec les concepts de plus proches voisins},
   booktitle = {Extraction et Gestion des connaissances ({EGC})},
   pages = {69--80},
   year = {2019},
   editor = {Marie{-}Christine Rousset and Lydia Boudjeloud{-}Assala},
   series = {{RNTI}},
   volume = {{E-35}},
   publisher = {Hermann-Éditions},
   year = {2019},
   isbn = {979-10-96289-09-7},
   url = {https://hal.inria.fr/hal-02281775},
   keywords = {semantic web, link prediction, nearest neighbours, similarity, graph pattern, concept},
   
   }
   

1. Mireille Ducassé. Kartu-Verbs: A Semantic Web Base of Inflected Verb Forms for the Georgian Language. Technical Report, IRISA-INSA, December 2019. Note: Avalaible under HAL https://hal.archives-ouvertes.fr/hal-02460975. [WWW] Abstract:

   The Georgian language has a complex verbal system, both agglutinative and inflectional, with many exceptions. It is still a controversial issue to deter- mine which lemmas should represent a verb in dictionaries. Verb tables help neophytes to track lemmas starting from inflected forms but if in paper documents they are tedious and error-prone to browse. We propose Kartu-Verbs, a Semantic Web base of inflected Georgian verb forms. For a given verb, all inflected forms are present. Knowledge can easily be traversed in all directions: from Georgian to French and English; from an inflected form to a masdar, and conversely from a masdar to any inflected form; from component(s) to forms and from a form to its components. Users can easily retrieve the lemmas that are relevant to access their preferred dictionary. Kartu-Verbs can be seen as a front-end to any Georgian dictionary, thus bypassing the lemmatization issues. This report illustrates in detail how to use Kartu-Verbs and gives some indications about how the base is built. Our base, in its current state, is already a successful proof of concept. It has proven helpful to learn about Georgian verbs.

   
   

   @TechReport{ducasse2019,
   Author={Mireille Ducassé},
   Title={Kartu-Verbs: A Semantic Web Base of Inflected Verb Forms for the Georgian Language},
   Institution={IRISA-INSA},
   Year={2019},
   Type={Technical Report},
   Month={December},
   Note= {Avalaible under HAL https://hal.archives-ouvertes.fr/hal-02460975},
   Url={https://hal.archives-ouvertes.fr/hal-02460975},
   Abstract = { The Georgian language has a complex verbal system, both agglutinative and inflectional, with many exceptions. It is still a controversial issue to deter- mine which lemmas should represent a verb in dictionaries. Verb tables help neophytes to track lemmas starting from inflected forms but if in paper documents they are tedious and error-prone to browse. We propose Kartu-Verbs, a Semantic Web base of inflected Georgian verb forms. For a given verb, all inflected forms are present. Knowledge can easily be traversed in all directions: from Georgian to French and English; from an inflected form to a masdar, and conversely from a masdar to any inflected form; from component(s) to forms and from a form to its components. Users can easily retrieve the lemmas that are relevant to access their preferred dictionary. Kartu-Verbs can be seen as a front-end to any Georgian dictionary, thus bypassing the lemmatization issues. This report illustrates in detail how to use Kartu-Verbs and gives some indications about how the base is built. Our base, in its current state, is already a successful proof of concept. It has proven helpful to learn about Georgian verbs.} 
   }
   

1. Annie Foret. ISNLP on AI for Education - Exploratory action 2019 : Exploratory experiments combining Information Systems and Natural Language Processing. Cominlabs days, November 2019. Note: Poster. [WWW] [PDF]
   

   @misc{foret:hal-02462991,
   TITLE = {{ISNLP on AI for Education - Exploratory action 2019 : Exploratory experiments combining Information Systems and Natural Language Processing}},
   AUTHOR = {Foret, Annie},
   URL = {https://hal.inria.fr/hal-02462991},
   NOTE = {Poster},
   HOWPUBLISHED = {{Cominlabs days}},
   YEAR = {2019},
   MONTH = Nov,
   PDF = {https://hal.inria.fr/hal-02462991/file/2019-poster-CominLabs-A0-portrait_2019_ISNLP-18nov.pdf},
   
   }
   




2. Aurélien Lamercerie. Une algèbre des automates d'acceptation propositionnelle déterministes comme théorie d'interface pour la conception de systèmes cyberphysiques. MSR 2019 - 12ème Colloque sur la Modélisation des Systèmes Réactifs, Nov 2019, Angers, France, November 2019. Note: Poster. [WWW] [PDF]
   

   @misc{lamercerie:hal-02432696,
   TITLE = {{Une alg{\`e}bre des automates d'acceptation propositionnelle d{\'e}terministes comme th{\'e}orie d'interface pour la conception de syst{\`e}mes cyberphysiques}},
   AUTHOR = {Lamercerie, Aur{\'e}lien},
   URL = {https://hal.archives-ouvertes.fr/hal-02432696},
   NOTE = {Poster},
   HOWPUBLISHED = {{MSR 2019 - 12{\`e}me Colloque sur la Mod{\'e}lisation des Syst{\`e}mes R{\'e}actifs, Nov 2019, Angers, France}},
   PAGES = {1},
   YEAR = {2019},
   MONTH = Nov,
   PDF = {https://hal.archives-ouvertes.fr/hal-02432696/file/MSR19_paper_23.pdf},
   
   }
   

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