← Authors

Matthieu Labeau

25 papers · 2015–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (10) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (50) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) πŸ† Grand Slam 🀝 Dynamic Duo (13) ⚑ Prolific Year (5) πŸ’Ž Century Club (25) πŸ—ƒοΈ Keyword Collector (108) πŸ”₯ Unstoppable (9)

Conferences

EMNLP (10) ACL (3) COLING (2) IJCNLP (2) NAACL (2) AAAI (1) CONLL (1) EACL (1) ICLR (1) ICML (1) NIPS (1)

Top co-authors

Chloé Clavel (13) Gaël Guibon (4) Luce Lefeuvre (4) Pierre Colombo (4) Aina Garí Soler (4) Emile Chapuis (3) Thomas Bonald (3) Hélène Flamein (3) Antoine Saillenfest (3) Roman Plaud (3)

Research topics

Linguistics (1)

Keywords

semantic analysis (3) prototypical network (3) few-shot learning (3) dialogue system (2) transformer encoder (2) emotion classification (2) multilabel classification (2) kullback-leibler divergence (2) maximum likelihood estimation (2) text classification (2) representation learning (2) noise contrastive estimation (2) metric learning (2) hierarchical text classification (2) label hierarchy (2) language model (2) language modeling (2) importance sampling (2) natural language processing (2) customer service (2)

Papers

Toward the Automatic Detection of Word Meaning Negotiation Indicators in Conversation EMNLP 2025
EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse Dynamics NAACL 2025
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers ICML 2025
Potentially Problematic Word Usages and How to Detect Them: A Survey EMNLP 2025
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss NIPS 2024
Revisiting Hierarchical Text Classification: Inference and Metrics CONLL 2024
Revisiting Hierarchical Text Classification: Inference and Metrics EMNLP 2024
Using Locally Learnt Word Representations for better Textual Anomaly Detection NAACL 2024
An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data AAAI 2023
Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations ACL 2023
One Word, Two Sides: Traces of Stance in Contextualized Word Representations COLING 2022
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories IJCNLP 2021
Improving Multimodal fusion via Mutual Dependency Maximisation EMNLP 2021
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks EMNLP 2021
Code-switched inspired losses for spoken dialog representations EMNLP 2021
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories ACL 2021
Compositional languages emerge in a neural iterated learning model ICLR 2020
The importance of fillers for text representations of speech transcripts EMNLP 2020
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog EMNLP 2020
Experimenting with Power Divergences for Language Modeling IJCNLP 2019
Experimenting with Power Divergences for Language Modeling EMNLP 2019
Learning with Noise-Contrastive Estimation: Easing training by learning to scale COLING 2018
Proceedings of ACL 2017, Student Research Workshop ACL 2017
An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters EACL 2017
Non-lexical neural architecture for fine-grained POS Tagging EMNLP 2015