2023-2025 France-Berkeley Fund, “Strategies for perspective shift in natural languages”
co-PIs: Marta Abrusan and Amy Rose Deal
Workshop June 6-7, 2024, École Normale Supérieure
2013-2018 CONTENT (Content Across Domains: From Words to Discourse), Marie Curie Career Integration Grant, PI: Marta Abrusan
The project proposes to combine the strengths of traditional linguistics (in particular formal semantics) and natural language processing in computer science in order to develop more sophisticated theories of semantic content at the word, sentence and discourse level. Methodologically, it aims at enlarging the set of theoretical tools both in formal semantics and in computational (distributional) semantics. It is hoped that by developing novel methods towards semantic content and by building bridges with the computer science community this research can open new theoretical perspectives as well as contribute to the development of further technical advances in the field of natural language processing.
2011-2016 STAC (Strategic conversation), ERC Advanced Research Grant, PI: Nicholas Asher
STAC is a five year interdisciplinary project that aims to develop a new, formal and robust model of conversation, drawing from ideas in linguistics, philosophy, computer science and economics. The project brings a state of the art, linguistic theory of discourse interpretation together with a sophisticated view of agent interaction and strategic decision making, taking advantage of work on game theory. A crucial component of the project's research methodology for advancing our understanding of strategic conversation is to interleave theoretical work and analysis with empirical evaluation and validation using a dialogue manager of a working dialogue system. We will develop different dialogue systems that will provide corpora for studying strategic conversation. We will annotate data from these corpora and to build models of strategic conversational agents based on the data.