Projects
Ongoing
COBRA
COnversational BRAin – A Marie Skłodowska-Curie Innovative Training Network (ITN) – Scientific leader: LIS. 14 partners in 10 countries
COMPO
Compositionality-capable Deep Learning Models of Natural Language - Scientific leader: LLF. Partners : LIS, LIG and LPC.
HEBBIAN
Hebbian learning of sequences :Understanding the Dynamics of Sequence Memorization - Scientific leader: LPC. Partners : LIS, INRIA and BCL(Université Côte d’Azur).
MACoMiC
Mastery of the Art of Conversation in Middle Childhood
MALADES
Integrating and adapting Large Language Models (LLMs) for biomedical applications by developing natural language processing tools tailored to the French medical domain – Scientific leader: LS2N. Partners: LIS, CHU Nantes, Avignon Université
REVITALISE
REVITALISE – viRtual bEhaVioral skIlls TrAining for pubLIc SpEaking. Scientific leader: LIS. Partners: Télécom Paris, LS2N, ISM, CRVM, Umanis Company.
SELEXINI
Semantic lexicon induction for interpretability and diversity in text processing
TRUENESS
A Virtual Reality Forum Theatre for Discrimination Awaraness – Scientific leader: LIS. Partners: LPL, ISM, CRVM.
UNIT
Plateforme Expérimentale pour l’Evaluation Multimodale des Modèles de Traitement Automatique de la Langue avec une tête parlante robotique
UniDive
Interdisciplinary scientific network devoted to universality, diversity and idiosyncrasy in language technology
Concluded
ASFALDA
Provide both a French corpus with semantic annotations and automatic tools for shallow semantic analysis.
Archival
Nouvelles formes d’accès aux collections de la FMSH grâce aux avancées dans les interfaces multimodales, compréhension automatique des contenus et apprentissage de représentations.
CoPains
CoPains: Cognitive Planning in Persuasive Multimodal Communication – Scientific leader: LIS. Partners: IRIT, LIMSI, LIS et LPL and Davi company.
DATCHA
Knowledge extraction from very large databases of chat conversations between operators and clients in customer contact centers.
ORFEO
Creating an annotated corpus of spoken and written French for supporting the next-level of humanities research.
PARSEME-FR
Improving linguistic representativeness, precision, robustness and computational efficiency of NLP applications, esp. French parsing, focusing on multiword expressions.
SENSEI
Summarization/analytics to help users make sense of human conversation streams; design and evaluate summarization technology in real-world environments.