USI NLP Research Lab focuses on models inspired by human cognition to create more natural and flexible handling of language by machines.
The lion's share of information exchange passes through language. Expression through language is man-made and as a communication channel it presents several challenges: It is highly diverse (with over 6000 distinct languages), noisy, ambiguous, both over- and underspecified and often indirect.
Challenging as it may be, language is an essential tool for artificial systems, such as mobile apps and robots, to interact effectively with users.
The USI NLP Research Lab is concerned with the scientific study and development of systems that automatically capture information from this noisy and complex signal, with a preference for methods that find inspiration in human cognitive processes to make interaction more natural and flexible, and to make automatic learning from this signal more efficient.
Team
PhD students:
Molly Petersen (EPFL EDIC)
Mete Ismayilzada (EPFL EDIC)
Vincent Jung (EPFL EDEE)
Diego Rossini (USI COM)
Amira Neumann (USI INF)
Volodymyr Karpenko (USI INF)
Alumni:
Laura Vasquez
Michiel van der Meer
Inga Lang
Yixuan Xu