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/



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A simple but effective model for attachment in discourse parsing with multi-task learning for relation labeling

European chapter of the Association for Computational Linguistics (EACL)

Zineb Bennis, #Julie Hunter, Nicolas Asher

#Language, #SUMM-RE

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Comparing Methods for Segmenting Elementary Discourse Units in a French Conversational Corpus

Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)

Laurent Prévot, #Julie Hunter, Philippe Muller

#Language, #SUMM-RE

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FREDSum: A Dialogue Summarization Corpus for French Political Debates

Findings of Empirical Methods in Natural Language Processing (EMNLP)

#Virgile Rennard, Guokan Shang, Damien Grari, #Julie Hunter, Michalis Vazirgiannis

#Language, #SUMM-RE

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Abstractive Meeting Summarization: A Survey

Transactions of the Association for Computational Linguistics (TACL)

#Virgile Rennard, Guokan Shang, #Julie Hunter, Michalis Vazirgiannis

#Language, #SUMM-RE

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Limits for Learning with Language Models

Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023).

Nicholas Asher, Swarnadeep Bhar, Akshay Chaturvedi, #Julie Hunter, Soumya Paul


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On the Role of Relations and Structure in Discourse Interpretation

Linguistics Meets Philosophy

#Julie Hunter, #Kate Thompson


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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


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When learning becomes impossible

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

Nicholas Asher, #Julie Hunter


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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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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 ?