| 2026 | ACL | What Do Neural Speech Models Know About Phonology? Evidence from Structured Phoneme Confusions. | Eli Stafford, Aime Lahaussois, Guillaume Wisniewski |
| 2026 | EAMT | On the Use of LLMs for Specialised Terminology: A Good Alternative to Corpora? | Joachim Minder, Guillaume Wisniewski, Natalie Kbler |
| 2026 | LREC | Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation. | Lina Conti, Dennis Fucci, Marco Gaido, Matteo Negri, Guillaume Wisniewski, Luisa Bentivogli |
| 2025 | COLING | Beyond Surprisal: A Dual Metric Framework for Lexical Skill Acquisition in LLMs. | Nazanin Shafiabadi, Guillaume Wisniewski |
| 2024 | EACL | Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models. | Maxime Fily, Guillaume Wisniewski, Severine Guillaume, Gilles Adda, Alexis Michaud |
| 2024 | Interspeech | Gender and Language Identification in Multilingual Models of Speech: Exploring the Genericity and Robustness of Speech Representations. | Sverine Guillaume, Maxime Fily, Alexis Michaud, Guillaume Wisniewski |
| 2023 | EMNLP | Using Artificial French Data to Understand the Emergence of Gender Bias in Transformer Language Models. | Lina Conti, Guillaume Wisniewski |
| 2023 | Interspeech | ProsAudit, a prosodic benchmark for self-supervised speech models. | Maureen de Seyssel, Marvin Lavechin, Hadrien Titeux, Arthur Thomas, Gwendal Virlet, Andrea Santos Revilla, Guillaume Wisniewski, Bogdan Ludusan, Emmanuel Dupoux |
| 2022 | ACL | How Distributed are Distributed Representations? An Observation on the Locality of Syntactic Information in Verb Agreement Tasks. | Bingzhi Li, Guillaume Wisniewski, Benot Crabb |
| 2022 | CogSci | Is the Language Familiarity Effect gradual ? A computational modelling approach. | Maureen de Seyssel, Guillaume Wisniewski, Emmanuel Dupoux |
| 2022 | Interspeech | Plugging a neural phoneme recognizer into a simple language model: a workflow for low-resource setting. | Sverine Guillaume, Guillaume Wisniewski, Benjamin Galliot, Minh Chau Nguyen, Maxime Fily, Guillaume Jacques, Alexis Michaud |
| 2022 | Interspeech | Probing phoneme, language and speaker information in unsupervised speech representations. | Maureen de Seyssel, Marvin Lavechin, Yossi Adi, Emmanuel Dupoux, Guillaume Wisniewski |
| 2021 | EACL | Are Neural Networks Extracting Linguistic Properties or Memorizing Training Data? An Observation with a Multilingual Probe for Predicting Tense. | Bingzhi Li, Guillaume Wisniewski |
| 2021 | EMNLP | Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement. | Bingzhi Li, Guillaume Wisniewski, Benot Crabb |
| 2020 | AMTA | Non-linear n-best List Reranking with Few Features. | Artem Sokolov, Guillaume Wisniewski, Franois Yvon |
| 2019 | NAACL | How Bad are PoS Tagger in Cross-Corpora Settings? Evaluating Annotation Divergence in the UD Project. | Guillaume Wisniewski, Franois Yvon |
| 2018 | COLING | Quantifying training challenges of dependency parsers. | Lauriane Aufrant, Guillaume Wisniewski, Franois Yvon |
| 2018 | LREC | Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project. | Guillaume Wisniewski |
| 2018 | NAACL | Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation. | Marianna Apidianaki, Guillaume Wisniewski, Anne Cocos, Chris Callison-Burch |
| 2018 | NAACL | Exploiting Dynamic Oracles to Train Projective Dependency Parsers on Non-Projective Trees. | Lauriane Aufrant, Guillaume Wisniewski, Franois Yvon |
| 2018 | NAACL | Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles. | Guillaume Wisniewski, Ophlie Lacroix, Franois Yvon |
| 2017 | CoNLL | LIMSI$@$CoNLL'17: UD Shared Task. | Lauriane Aufrant, Guillaume Wisniewski, Franois Yvon |
| 2017 | EACL | Don't Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers. | Lauriane Aufrant, Guillaume Wisniewski, Franois Yvon |
| 2017 | Interspeech | Combining Speaker Turn Embedding and Incremental Structure Prediction for Low-Latency Speaker Diarization. | Guillaume Wisniewski, Herv Bredin, Gregory Gelly, Claude Barras |
| 2016 | COLING | Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge. | Lauriane Aufrant, Guillaume Wisniewski, Franois Yvon |
| 2016 | LREC | Cross-lingual and Supervised Models for Morphosyntactic Annotation: a Comparison on Romanian. | Lauriane Aufrant, Guillaume Wisniewski, Franois Yvon |
| 2016 | NAACL | Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing. | Ophlie Lacroix, Lauriane Aufrant, Guillaume Wisniewski, Franois Yvon |
| 2015 | Interspeech | Structured prediction for speaker identification in TV series. | Elena Knyazeva, Guillaume Wisniewski, Herv Bredin, Franois Yvon |
| 2014 | EMNLP | Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning. | Guillaume Wisniewski, Nicolas Pcheux, Souhir Gahbiche-Braham, Franois Yvon |
| 2014 | LREC | A Corpus of Machine Translation Errors Extracted from Translation Students Exercises. | Guillaume Wisniewski, Natalie Kbler, Franois Yvon |
| 2013 | ACL | On the Predictability of Human Assessment: when Matrix Completion Meets NLP Evaluation. | Guillaume Wisniewski |
| 2012 | EACL | Computing Lattice BLEU Oracle Scores for Machine Translation. | Artem Sokolov, Guillaume Wisniewski, Franois Yvon |
| 2010 | AMTA | Refining Word Alignment with Discriminative Training. | Nadi Tomeh, Alexandre Allauzen, Franois Yvon, Guillaume Wisniewski |
| 2010 | EMNLP | Training Continuous Space Language Models: Some Practical Issues. | Hai Son Le, Alexandre Allauzen, Guillaume Wisniewski, Franois Yvon |
| 2010 | EMNLP | Assessing Phrase-Based Translation Models with Oracle Decoding. | Guillaume Wisniewski, Alexandre Allauzen, Franois Yvon |
| 2010 | LREC | Mining Naturally-occurring Corrections and Paraphrases from Wikipedia's Revision History. | Aurlien Max, Guillaume Wisniewski |
| 2008 | ICDM | Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling. | Guillaume Wisniewski, Patrick Gallinari |