Julie Hunter

Head of Language team

Julie Hunter joined LINAGORA’s R&D team in January 2018 as a researcher in linguistics. She received her Ph.D. in 2010 from the University of Texas at Austin and held post-doc positions in Paris, Toulouse, and Barcelona before coming to LINAGORA. Julie’s research centers around using spoken and written corpora to develop models of human conversation and in particular, of how the interpretation of what we say is influenced by context, both linguistic and nonlinguistic.

 

For more information about Julie’s research, including a full list of publications, see: http://www.juliejhunter.com/

 

Projects

project-summre-bg
project-linto logo
project-cocobots logo

Publications

2022

On the Role of Relations and Structure in Discourse Interpretation

Linguistics Meets Philosophy

#Julie Hunter, #Kate Thompson

#Language

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Conversational Programming for Collaborative Robots

ICRA Workshop on Collaborative Robots and Work of the Future

Maike Paetzel-Prüsmann, #Julie Hunter, Kranti Chalamalasetti, #Kate Thompson, Alexandros Nicolaou, Ozan Güngör, David Schlangen and Nicholas Asher

#Language,#COCOBOTS

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When learning becomes impossible

FAccT ‘22: 2022 ACM Conference on Fairness, Accountability and Transparency

Nicholas Asher, #Julie Hunter

#Language

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2021

Weakly Supervised Discourse Segmentation for Multiparty Oral Conversation

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Lila Gravellier, #Julie Hunter, Philippe Muller, Thomas Pellegrini, Isabelle Ferrané

#Language, #LinTO, #SUMM-RE, #Speech

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Bias in Semantic and Discourse Interpretation

Linguistics & Philosophy, forthcoming

Nicholas Asher, #Julie Hunter, Soumya Paul

Interpretive Blindness and the Impossibility of Learning from Testimony

The 20th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)

Nicholas Asher, #Julie Hunter

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2020

Modelling Structures for Situated Discourse

Dialogue & Discourse, vol. 11 (1): 89-121

Nicholas Asher, #Julie Hunter, #Kate Thompson

#Language, #LinTO

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Blog Posts

Pourquoi modéliser la conversation orale spontanée reste un défi de taile ?