Ongoing

PARSEME-FR

Improving linguistic representativeness, precision, robustness and computational efficiency of NLP applications, esp. French parsing, focusing on multiword expressions.


Concluded

ASFALDA

Provide both a French corpus with semantic annotations and automatic tools for shallow semantic analysis.

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.

SENSEI

Summarization/analytics to help users make sense of human conversation streams; design and evaluate summarization technology in real-world environments.