| 2025 | ACL | Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors. | Andrei Catalin Coman, Christos Theodoropoulos, Marie-Francine Moens, James Henderson |
| 2025 | EMNLP | RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation. | Andrei Catalin Coman, Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro, Bill Byrne, James Henderson, Adri de Gispert |
| 2024 | EACL | Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts. | Yingqiang Gao, Nianlong Gu, Jessica Lam, James Henderson, Richard H. R. Hahnloser |
| 2024 | EACL | TESS: Text-to-Text Self-Conditioned Simplex Diffusion. | Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan |
| 2023 | ACL | HyperMixer: An MLP-based Low Cost Alternative to Transformers. | Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, Franois Marelli, Franois Fleuret, James Henderson |
| 2023 | ACL | RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question. | Alireza Mohammadshahi, Thomas Scialom, Majid Yazdani, Pouya Yanki, Angela Fan, James Henderson, Marzieh Saeidi |
| 2023 | EMNLP | Learning to Abstract with Nonparametric Variational Information Bottleneck. | Melika Behjati, Fabio Fehr, James Henderson |
| 2023 | ICLR | A VAE for Transformers with Nonparametric Variational Information Bottleneck. | James Henderson, Fabio Fehr |
| 2022 | ACL | Prompt-free and Efficient Few-shot Learning with Language Models. | Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson, Lambert Mathias, Marzieh Saeidi, Veselin Stoyanov, Majid Yazdani |
| 2022 | ACL | Graph Refinement for Coreference Resolution. | Lesly Miculicich, James Henderson |
| 2022 | CCS | The Closer You Look, The More You Learn: A Grey-box Approach to Protocol State Machine Learning. | Chris McMahon Stone, Sam L. Thomas, Mathy Vanhoef, James Henderson, Nicolas Bailluet, Tom Chothia |
| 2022 | EDUCON | Prototype for Crowd-based Co-creation of Artificial Intelligence Natural Language Conversational Agents. | Matthew Pears, James Henderson, Iraklis Tsoupouroglou, Panagiotis D. Bamidis, Eirini C. Schiza, Constantinos S. Pattichis, Natalia Stathakarou, Klas Karlgren, Stathis Th. Konstantinidis |
| 2022 | EMNLP | SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages. | Alireza Mohammadshahi, Vassilina Nikoulina, Alexandre Berard, Caroline Brun, James Henderson, Laurent Besacier |
| 2022 | EMNLP | What Do Compressed Multilingual Machine Translation Models Forget? | Alireza Mohammadshahi, Vassilina Nikoulina, Alexandre Berard, Caroline Brun, James Henderson, Laurent Besacier |
| 2022 | ICCE | Pedagogical Companions to Support Teachers' Interpretation of Students' Engagement from Multimodal Learning Analytics Dashboards. | Megan Wiedbusch, Nathan A. Sonnenfeld, James Henderson |
| 2022 | IJCNLP | Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation. | Florian Mai, James Henderson |
| 2021 | ACL | Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks. | Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, James Henderson |
| 2021 | CoNLL | Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning. | Christos Theodoropoulos, James Henderson, Andrei Catalin Coman, Marie-Francine Moens |
| 2021 | ICLR | Variational Information Bottleneck for Effective Low-Resource Fine-Tuning. | Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson |
| 2021 | ICWSM | Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence. | Navid Rekabsaz, Robert West, James Henderson, Allan Hanbury |
| 2021 | NAACL | Multi-Adversarial Learning for Cross-Lingual Word Embeddings. | Haozhou Wang, James Henderson, Paola Merlo |
| 2020 | ACL | The Unstoppable Rise of Computational Linguistics in Deep Learning. | James Henderson |
| 2020 | ACL | End-to-End Bias Mitigation by Modelling Biases in Corpora. | Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson |
| 2020 | EMNLP | Plug and Play Autoencoders for Conditional Text Generation. | Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson |
| 2020 | EMNLP | Graph-to-Graph Transformer for Transition-based Dependency Parsing. | Alireza Mohammadshahi, James Henderson |
| 2019 | EMNLP | Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings. | Haozhou Wang, James Henderson, Paola Merlo |
| 2019 | FlAIRS | Implicit Discourse Relation Classification with Syntax-Aware Contextualized Word Representations. | Diana Nicoleta Popa, Julien Perez, James Henderson, ric Gaussier |
| 2019 | ICML | Deep Residual Output Layers for Neural Language Generation. | Nikolaos Pappas, James Henderson |
| 2018 | EMNLP | Document-Level Neural Machine Translation with Hierarchical Attention Networks. | Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, James Henderson |
| 2017 | CoNLL | CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later. | Christophe Moor, Paola Merlo, James Henderson, Haozhou Wang |
| 2016 | ACL | A Vector Space for Distributional Semantics for Entailment. | James Henderson, Diana Nicoleta Popa |
| 2015 | CoNLL | Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training. | Majid Yazdani, James Henderson |
| 2015 | EMNLP | Named entity recognition with document-specific KB tag gazetteers. | Will Radford, Xavier Carreras, James Henderson |
| 2015 | EMNLP | Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions. | Majid Yazdani, Meghdad Farahmand, James Henderson |
| 2015 | EMNLP | A Model of Zero-Shot Learning of Spoken Language Understanding. | Majid Yazdani, James Henderson |
| 2014 | EACL | Undirected Machine Translation with Discriminative Reinforcement Learning. | Andrea Gesmundo, James Henderson |
| 2014 | SIGdial | The PARLANCE mobile application for interactive search in English and Mandarin. | Helen F. Hastie, Marie-Aude Aufaure, Panos Alexopoulos, Hugues Bouchard, Catherine Breslin, Heriberto Cuayhuitl, Nina Dethlefs, Milica Gasic, James Henderson, Oliver Lemon, Xingkun Liu, Peter Mika, Nesrine Ben Mustapha, Tim Potter, Verena Rieser, Blaise Thomson, Pirros Tsiakoulis, Yves Vanrompay, Boris Villazn-Terrazas, Majid Yazdani, Steve J. Young, Yanchao Yu |
| 2013 | NAACL | Graph-Based Seed Set Expansion for Relation Extraction Using Random Walk Hitting Times. | Joel Lang, James Henderson |
| 2013 | SIGdial | Demonstration of the PARLANCE system: a data-driven incremental, spoken dialogue system for interactive search. | Helen F. Hastie, Marie-Aude Aufaure, Panos Alexopoulos, Heriberto Cuayhuitl, Nina Dethlefs, Milica Gasic, James Henderson, Oliver Lemon, Xingkun Liu, Peter Mika, Nesrine Ben Mustapha, Verena Rieser, Blaise Thomson, Pirros Tsiakoulis, Yves Vanrompay |
| 2012 | ACL | Unsupervised Semantic Role Induction with Global Role Ordering. | Nikhil Garg, James Henderson |
| 2012 | ACL | Heuristic Cube Pruning in Linear Time. | Andrea Gesmundo, Giorgio Satta, James Henderson |
| 2011 | ACL | Temporal Restricted Boltzmann Machines for Dependency Parsing. | Nikhil Garg, James Henderson |
| 2011 | ACL | Scaling up Automatic Cross-Lingual Semantic Role Annotation. | Lonneke van der Plas, Paola Merlo, James Henderson |
| 2011 | EMNLP | Heuristic Search for Non-Bottom-Up Tree Structure Prediction. | Andrea Gesmundo, James Henderson |
| 2009 | CoNLL | A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages. | Andrea Gesmundo, James Henderson, Paola Merlo, Ivan Titov |
| 2009 | IJCAI | Online Graph Planarisation for Synchronous Parsing of Semantic and Syntactic Dependencies. | Ivan Titov, James Henderson, Paola Merlo, Gabriele Musillo |
| 2009 | NAACL | Domain Adaptation with Artificial Data for Semantic Parsing of Speech. | Lonneke van der Plas, James Henderson, Paola Merlo |
| 2008 | ACL | Mixture Model POMDPs for Efficient Handling of Uncertainty in Dialogue Management. | James Henderson, Oliver Lemon |
| 2008 | CoNLL | A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies. | James Henderson, Paola Merlo, Gabriele Musillo, Ivan Titov |
| 2007 | ACL | Constituent Parsing with Incremental Sigmoid Belief Networks. | Ivan Titov, James Henderson |
| 2007 | EMNLP | Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model. | Ivan Titov, James Henderson |
| 2007 | ICML | Incremental Bayesian networks for structure prediction. | Ivan Titov, James Henderson |
| 2006 | CoNLL | Porting Statistical Parsers with Data-Defined Kernels. | Ivan Titov, James Henderson |
| 2006 | EACL | An ISU Dialogue System Exhibiting Reinforcement Learning of Dialogue Policies: Generic Slot-Filling in the TALK In-car System. | Oliver Lemon, Kallirroi Georgila, James Henderson, Matthew N. Stuttle |
| 2006 | EMNLP | Loss Minimization in Parse Reranking. | Ivan Titov, James Henderson |
| 2006 | Interspeech | User simulation for spoken dialogue systems: learning and evaluation. | Kallirroi Georgila, James Henderson, Oliver Lemon |
| 2005 | ACL | Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models. | James Henderson, Ivan Titov |
| 2005 | IJCNN | Deriving kernels from MLP probability estimators for large categorization problems. | Ivan Titov, James Henderson |
| 2005 | Interspeech | Learning user simulations for information state update dialogue systems. | Kallirroi Georgila, James Henderson, Oliver Lemon |
| 2004 | ACL | Discriminative Training of a Neural Network Statistical Parser. | James Henderson |
| 2003 | EACL | Neural Network Probability Estimation for Broad Coverage Parsing. | James Henderson |
| 2003 | ICANN | Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing. | James Henderson |
| 2003 | NAACL | Inducing History Representations for Broad Coverage Statistical Parsing. | James Henderson |
| 2002 | COLING | Using Syntactic Analysis to Increase Efficiency in Visualizing Text Collections. | James Henderson, Paola Merlo, Ivan Petroff, Gerold Schneider |
| 2002 | ESANN | Estimating probabilities for unbounded categorization problems. | James Henderson |
| 1998 | ACL | A Connectionist Architecture for Learning to Parse. | James Henderson, Peter Lane |
| 1992 | ACL | A Connectionist Parser for Structure Unification Grammar. | James Henderson |
| 1991 | ACL | An Incremental Connectionist Phrase Structure Parser. | James Henderson |