Matthieu Labeau
24 papers · 2015–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (49) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(12)
🧬
Topic Evolution
🏆
Grand Slam
🧭
Keyword Pioneer
💎
Century Club · Bronze
🔥
Unstoppable · Silver
🌈
Renaissance Researcher
(5)
🗃️
Keyword Collector
(127)
📈
Trend Setter
Venues
Top co-authors
Research topics
Natural Language Processing
(17)
Machine Learning
(16)
Artificial Intelligence
(10)
Core Methods
(9)
Deep Learning
(8)
Core AI
(8)
Generation
(8)
Learning Types · Machine Learning
(7)
Interdisciplinary
(6)
Resources & Methods
(6)
Learning Types · Deep Learning
(5)
Optimization & Theory
(5)
Applications
(4)
Architectures
(4)
Linguistics
(4)
Keywords
noise contrastive estimation
(3)
semantic analysis
(3)
representation learning
(2)
neural language model
(2)
dialogue system
(2)
language modeling
(2)
maximum likelihood estimation
(2)
text representation
(2)
customer service
(2)
natural language processing
(2)
text classification
(2)
few-shot learning
(2)
prototypical network
(2)
contextualized word representation
(2)
optimal transport
(1)
embedding learning
(1)
domain adaptation
(1)
graph prediction
(1)
metric learning
(1)
language model training
(1)
Papers
Enhancing Two Steps Textual Anomaly Detection through Anisotropy Mitigation
ACL 2026
pfr821 at SemEval-2026 Task 9: Multilingual Polarization Detection via Hybrid XLM-RoBERTa with Targeted Data Augmentation and Imbalance-Aware Training
SemEval 2026
EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse Dynamics
NAACL 2025
Potentially Problematic Word Usages and How to Detect Them: A Survey
EMNLP 2025
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers
ICML 2025
Toward the Automatic Detection of Word Meaning Negotiation Indicators in Conversation
EMNLP 2025
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
NeurIPS 2024
Revisiting Hierarchical Text Classification: Inference and Metrics
CoNLL 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
Code-switched inspired losses for spoken dialog representations
EMNLP 2021
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks
EMNLP 2021
Improving Multimodal fusion via Mutual Dependency Maximisation
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
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
EMNLP 2020
The importance of fillers for text representations of speech transcripts
EMNLP 2020
Experimenting with Power Divergences for Language Modeling
EMNLP 2019
Learning with Noise-Contrastive Estimation: Easing training by learning to scale
COLING 2018
An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters
EACL 2017
Proceedings of ACL 2017, Student Research Workshop
ACL 2017
Non-lexical neural architecture for fine-grained POS Tagging
EMNLP 2015