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Dive into the research topics where Matthieu Labeau is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Decoding Persuasiveness in Eloquence Competitions: An Investigation into the LLM’s Ability to Assess Public Speaking
Barkar, A., Chollet, M., Labeau, M., Biancardi, B. & Clavel, C., 1 Jan 2025, In: International Conference on Agents and Artificial Intelligence. 3, p. 538-546 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse Dynamics
Wan, C., Labeau, M. & Clavel, C., 1 Jan 2025, Long Papers. Chiruzzo, L., Ritter, A. & Wang, L. (eds.). Association for Computational Linguistics (ACL), p. 1678-1695 18 p. (Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies: Long Papers, NAACL-HLT 2025; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers
Plaud, R., Perez-Lebel, A., Labeau, M., Saillenfest, A. & Bonald, T., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 49493-49536 44 p.Research output: Contribution to journal › Conference article › peer-review
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Toward the Automatic Detection of Word Meaning Negotiation Indicators in Conversation
Soler, A. G., Labeau, M. & Clavel, C., 1 Jan 2025, EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. Christodoulopoulos, C., Chakraborty, T., Rose, C. & Peng, V. (eds.). Association for Computational Linguistics (ACL), p. 24580-24596 17 p. (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
Krzakala, P., Yang, J., Flamary, R., d'Alché-Buc, F., Laclau, C. & Labeau, M., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Exploiting Edge Features in Graph-based Learning with Fused Network Gromov-Wasserstein Distance
Yang, J., Labeau, M. & D’alché-Buc, F., 1 Jan 2024, In: Transactions on Machine Learning Research. 2024Research output: Contribution to journal › Article › peer-review
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Revisiting Hierarchical Text Classification: Inference and Metrics
Plaud, R., Labeau, M., Saillenfest, A. & Bonald, T., 1 Jan 2024, CoNLL 2024 - 28th Conference on Computational Natural Language Learning, Proceedings of the Conference. Barak, L. & Alikhani, M. (eds.). Association for Computational Linguistics (ACL), p. 231-242 12 p. (CoNLL 2024 - 28th Conference on Computational Natural Language Learning, Proceedings of the Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations
Soler, A. G., Labeau, M. & Clavel, C., 1 Jan 2024, In: Transactions of the Association for Computational Linguistics. 12, p. 299-320 22 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Using Locally Learnt Word Representations for better Textual Anomaly Detection
Breidenstein, A. & Labeau, M., 1 Jan 2024, Insights 2024 - 5th Workshop on Insights from Negative Results in NLP, Proceedings of the Workshop. Tafreshi, S., Akula, A. R., Sedoc, J., Drozd, A., Rogers, A. & Rumshisky, A. (eds.). Association for Computational Linguistics (ACL), p. 82-91 10 p. (Insights 2024 - 5th Workshop on Insights from Negative Results in NLP, Proceedings of the Workshop).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data
Guibon, G., Labeau, M., Lefeuvre, L. & Clavel, C., 27 Jun 2023, AAAI-23 Technical Tracks 6. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 7757-7765 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access