An Incremental Connectionist Phrase Structure Parser. - James Henderson 001 (ACL, 1991)

A Connectionist Parser for Structure Unification Grammar. - James Henderson 001 (ACL, 1992)

A Connectionist Architecture for Learning to Parse. - James Henderson 001; Peter Lane (COLING-ACL, 1998)

A Neural Network Parser that Handles Sparse Data. - James Henderson 001 (IWPT, 2000)

Segmenting State into Entities and Its Implication for Learning. - James Henderson 001 (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

Incremental Syntactic Parsing of Natural Language Corpora with Simple Synchrony Networks. - Peter C. R. Lane; James Brinton Henderson (IEEE Trans. Knowl. Data Eng., 2001)

Using Syntactic Analysis to Increase Efficiency in Visualizing Text Collections. - James Henderson 001; Paola Merlo; Ivan Petroff; Gerold Schneider (COLING, 2002)

Using NLP to Efficiently Visualize Text Collections with SOMs. - James Henderson 001; Paola Merlo; Ivan Petroff; Gerold Schneider (DEXA Workshops, 2002)

Neural Network Probability Estimation for Broad Coverage Parsing. - James Henderson 001 (EACL, 2003)

Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing. - James Henderson 001 (ICANN, 2003)

Generative versus Discriminative Models for Statistical Left-Corner Parsing. - James Henderson 001 (IWPT, 2003)

Inducing History Representations for Broad Coverage Statistical Parsing. - James Henderson 001 (HLT-NAACL, 2003)

Towards Effective Parsing with Neural Networks: Inherent Generalisations and Bounded Resource Effects. - Peter C. R. Lane; James Henderson 001 (Appl. Intell., 2003)

Discriminative Training of a Neural Network Statistical Parser. - James Henderson 001 (ACL, 2004)

Estimating probabilities for unbounded categorization problems. - James Henderson 001 (Neurocomputing, 2004)

Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models. - James Henderson 001; Ivan Titov 001 (ACL, 2005)

Deriving kernels from MLP probability estimators for large categorization problems. - Ivan Titov 001; James Henderson 001 (IJCNN, 2005)

Learning user simulations for information state update dialogue systems. - Kallirroi Georgila; James Henderson 001; Oliver Lemon (INTERSPEECH, 2005)

Porting Statistical Parsers with Data-Defined Kernels. - Ivan Titov 001; James Henderson 001 (CoNLL, 2006)

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 001; Matthew N. Stuttle (EACL, 2006)

Loss Minimization in Parse Reranking. - Ivan Titov 001; James Henderson 001 (EMNLP, 2006)

User simulation for spoken dialogue systems: learning and evaluation. - Kallirroi Georgila; James Henderson 001; Oliver Lemon (INTERSPEECH, 2006)

Evaluating Effectiveness and Portability of Reinforcement Learned Dialogue Strategies with Real Users: the Talk Towninfo Evaluation. - Oliver Lemon; Kallirroi Georgila; James Henderson 001 (SLT, 2006)

Constituent Parsing with Incremental Sigmoid Belief Networks. - Ivan Titov 001; James Henderson 001 (ACL, 2007)

Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model. - Ivan Titov 001; James Henderson 001 (EMNLP-CoNLL, 2007)

Incremental Bayesian networks for structure prediction. - Ivan Titov 001; James Henderson 001 (ICML, 2007)

A Latent Variable Model for Generative Dependency Parsing. - Ivan Titov 001; James Henderson 001 (IWPT, 2007)

Mixture Model POMDPs for Efficient Handling of Uncertainty in Dialogue Management. - James Henderson 001; Oliver Lemon (ACL (2), 2008)

A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies. - James Henderson 001; Paola Merlo; Gabriele Musillo; Ivan Titov 001 (CoNLL, 2008)

Hybrid Reinforcement/Supervised Learning of Dialogue Policies from Fixed Data Sets. - James Henderson 001; Oliver Lemon; Kallirroi Georgila (Comput. Linguistics, 2008)

A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages. - Andrea Gesmundo; James Henderson 001; Paola Merlo; Ivan Titov 001 (CoNLL Shared Task, 2009)

Online Graph Planarisation for Synchronous Parsing of Semantic and Syntactic Dependencies. - Ivan Titov 001; James Henderson 001; Paola Merlo; Gabriele Musillo (IJCAI, 2009)

Domain Adaptation with Artificial Data for Semantic Parsing of Speech. - Lonneke van der Plas; James Henderson 001; Paola Merlo (HLT-NAACL (Short Papers), 2009)

Automatic annotation of context and speech acts for dialogue corpora. - Kallirroi Georgila; Oliver Lemon; James Henderson 001; Johanna D. Moore (Nat. Lang. Eng., 2009)

A Latent Variable Model for Generative Dependency Parsing. - Ivan Titov 001; James Henderson 001 (Trends in Parsing Technology, 2010)

Faster cube pruning. - Andrea Gesmundo; James Henderson 001 (IWSLT, 2010)

Incremental Sigmoid Belief Networks for Grammar Learning. - James Henderson 001; Ivan Titov 001 (J. Mach. Learn. Res., 2010)

Temporal Restricted Boltzmann Machines for Dependency Parsing. - Nikhil Garg 003; James Henderson 001 (ACL (2), 2011)

Scaling up Automatic Cross-Lingual Semantic Role Annotation. - Lonneke van der Plas; Paola Merlo; James Henderson 001 (ACL (2), 2011)

Heuristic Search for Non-Bottom-Up Tree Structure Prediction. - Andrea Gesmundo; James Henderson 001 (EMNLP, 2011)

Bayesian Network Automata for Modelling Unbounded Structures. - James Henderson 001 (IWPT, 2011)

Unsupervised Semantic Role Induction with Global Role Ordering. - Nikhil Garg 003; James Henderson 001 (ACL (2), 2012)

Heuristic Cube Pruning in Linear Time. - Andrea Gesmundo; Giorgio Satta; James Henderson 001 (ACL (2), 2012)

Semantic Hyperlocal Search for Parlance Mobile Spoken Dialogue System. - Panos Alexopoulos; Marie-Aude Aufaure; Nesrine Ben Mustapha; Hugues Bouchard; José Manuél Gómez-Pérez; James Henderson 001; Beibei Hu; Joel Lang; Peter Mika; Yves Vanrompay (ESWC (Satellite Events), 2013)

Graph-Based Seed Set Expansion for Relation Extraction Using Random Walk Hitting Times. - Joel Lang; James Henderson 001 (HLT-NAACL, 2013)

Demonstration of the PARLANCE system: a data-driven incremental, spoken dialogue system for interactive search. - Helen F. Hastie; Marie-Aude Aufaure; Panos Alexopoulos; Heriberto Cuayáhuitl; Nina Dethlefs; Milica Gasic; James Henderson 001; Oliver Lemon; Xingkun Liu; Peter Mika; Nesrine Ben Mustapha; Verena Rieser; et al. (SIGDIAL Conference, 2013)

Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model. - James Henderson 001; Paola Merlo; Ivan Titov 001; Gabriele Musillo (Comput. Linguistics, 2013)

Efficient Computation of Mean Truncated Hitting Times on Very Large Graphs - Joel Lang; James Henderson 001 (CoRR, 2013)

Undirected Machine Translation with Discriminative Reinforcement Learning. - Andrea Gesmundo; James Henderson 001 (EACL, 2014)

The PARLANCE mobile application for interactive search in English and Mandarin. - Helen F. Hastie; Marie-Aude Aufaure; Panos Alexopoulos; Hugues Bouchard; Catherine Breslin; Heriberto Cuayáhuitl; Nina Dethlefs; Milica Gasic; James Henderson 001; Oliver Lemon; Xingkun Liu; Peter Mika; et al. (SIGDIAL Conference, 2014)

Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training. - Majid Yazdani; James Henderson 001 (CoNLL, 2015)

Named entity recognition with document-specific KB tag gazetteers. - Will Radford; Xavier Carreras; James Henderson 001 (EMNLP, 2015)

Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions. - Majid Yazdani; Meghdad Farahmand; James Henderson 001 (EMNLP, 2015)

A Model of Zero-Shot Learning of Spoken Language Understanding. - Majid Yazdani; James Henderson 001 (EMNLP, 2015)

A Vector Space for Distributional Semantics for Entailment. - James Henderson 001; Diana Nicoleta Popa (ACL (1), 2016)

Modeling the Non-Substitutability of Multiword Expressions with Distributional Semantics and a Log-Linear Model. - Meghdad Farahmand; James Henderson 001 (MWE@ACL, 2016)

A Bayesian Model of Multilingual Unsupervised Semantic Role Induction. - Nikhil Garg 003; James Henderson 001 (CoRR, 2016)

CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later. - Christophe Moor; Paola Merlo; James Henderson 001; Haozhou Wang (CoNLL Shared Task (2), 2017)

Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction. - Diana Nicoleta Popa; James Henderson 001 (CoRR, 2017)

Learning Word Embeddings for Hyponymy with Entailment-Based Distributional Semantics. - James Henderson 001 (CoRR, 2017)

Document-Level Neural Machine Translation with Hierarchical Attention Networks. - Lesly Miculicich; Dhananjay Ram; Nikolaos Pappas 002; James Henderson 001 (EMNLP, 2018)

Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation. - Nikolaos Pappas 002; Lesly Miculicich Werlen; James Henderson 001 (WMT, 2018)

Joint Input-Label Embedding for Neural Text Classification. - Nikolaos Pappas 002; James Henderson 001 (CoRR, 2018)

Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation. - Xiao Pu 001; Nikolaos Pappas 002; James Henderson 001; Andrei Popescu-Belis (Trans. Assoc. Comput. Linguistics, 2018)

Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings. - Haozhou Wang; James Henderson 001; Paola Merlo (EMNLP/IJCNLP (1), 2019)

Implicit Discourse Relation Classification with Syntax-Aware Contextualized Word Representations. - Diana Nicoleta Popa; Julien Perez; James Henderson 001; Éric Gaussier (FLAIRS, 2019)

Deep Residual Output Layers for Neural Language Generation. - Nikolaos Pappas 002; James Henderson 001 (ICML, 2019)

Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains. - Navid Rekabsaz; Nikolaos Pappas 002; James Henderson 001; Banriskhem K. Khonglah; Srikanth R. Madikeri (CoRR, 2019)

Partially-supervised Mention Detection. - Lesly Miculicich; James Henderson 001 (CoRR, 2019)

Simple but effective techniques to reduce biases. - Rabeeh Karimi Mahabadi; James Henderson 001 (CoRR, 2019)

GILE: A Generalized Input-Label Embedding for Text Classification. - Nikolaos Pappas 002; James Henderson 001 (Trans. Assoc. Comput. Linguistics, 2019)

The Unstoppable Rise of Computational Linguistics in Deep Learning. - James Henderson 001 (ACL, 2020)

End-to-End Bias Mitigation by Modelling Biases in Corpora. - Rabeeh Karimi Mahabadi; Yonatan Belinkov; James Henderson 001 (ACL, 2020)

Plug and Play Autoencoders for Conditional Text Generation. - Florian Mai; Nikolaos Pappas 002; Ivan Montero; Noah A. Smith; James Henderson 001 (EMNLP (1), 2020)

Graph-to-Graph Transformer for Transition-based Dependency Parsing. - Alireza Mohammadshahi; James Henderson 001 (EMNLP (Findings), 2020)

Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks. - Rabeeh Karimi Mahabadi; Sebastian Ruder; Mostafa Dehghani 001; James Henderson 001 (ACL/IJCNLP (1), 2021)

Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning. - Christos Theodoropoulos 001; James Henderson 001; Andrei Catalin Coman; Marie-Francine Moens (CoNLL, 2021)

Variational Information Bottleneck for Effective Low-Resource Fine-Tuning. - Rabeeh Karimi Mahabadi; Yonatan Belinkov; James Henderson 001 (ICLR, 2021)

Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence. - Navid Rekabsaz; Robert West 001; James Henderson 001; Allan Hanbury (ICWSM, 2021)

Multi-Adversarial Learning for Cross-Lingual Word Embeddings. - Haozhou Wang; James Henderson 001; Paola Merlo (NAACL-HLT, 2021)

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers. - Rabeeh Karimi Mahabadi; James Henderson 001; Sebastian Ruder (NeurIPS, 2021)

Inducing Meaningful Units from Character Sequences with Slot Attention. - Melika Behjati; James Henderson 001 (CoRR, 2021)

The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task. - James Barry; Alireza Mohammadshahi; Joachim Wagner 001; Jennifer Foster; James Henderson 001 (CoRR, 2021)

Towards syntax-aware token embeddings. - Diana Nicoleta Popa; Julien Perez; James Henderson 001; Éric Gaussier (Nat. Lang. Eng., 2021)

Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement. - Alireza Mohammadshahi; James Henderson 001 (Trans. Assoc. Comput. Linguistics, 2021)

Prompt-free and Efficient Few-shot Learning with Language Models. - Rabeeh Karimi Mahabadi; Luke Zettlemoyer; James Henderson 001; Lambert Mathias; Marzieh Saeidi; Veselin Stoyanov; Majid Yazdani (ACL (1), 2022)

Graph Refinement for Coreference Resolution. - Lesly Miculicich; James Henderson 001 (ACL (Findings), 2022)

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages. - Alireza Mohammadshahi; Vassilina Nikoulina; Alexandre Berard; Caroline Brun; James Henderson 001; Laurent Besacier (EMNLP, 2022)

What Do Compressed Multilingual Machine Translation Models Forget? - Alireza Mohammadshahi; Vassilina Nikoulina; Alexandre Berard; Caroline Brun; James Henderson 001; Laurent Besacier (EMNLP (Findings), 2022)

Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation. - Florian Mai; James Henderson 001 (AACL/IJCNLP (1), 2022)

Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformers. - Luis Espinosa Anke; Alexander V. Shvets; Alireza Mohammadshahi; James Henderson 001; Leo Wanner (*SEM@NAACL-HLT, 2022)

HyperMixer: An MLP-based Green AI Alternative to Transformers. - Florian Mai; Arnaud Pannatier; Fabio Fehr; Haolin Chen; François Marelli; François Fleuret; James Henderson 001 (CoRR, 2022)

PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models. - Rabeeh Karimi Mahabadi; Luke Zettlemoyer; James Henderson 001; Marzieh Saeidi; Lambert Mathias; Veselin Stoyanov; Majid Yazdani (CoRR, 2022)

A Variational AutoEncoder for Transformers with Nonparametric Variational Information Bottleneck. - James Henderson 001; Fabio Fehr (CoRR, 2022)

HyperMixer: An MLP-based Low Cost Alternative to Transformers. - Florian Mai; Arnaud Pannatier; Fabio Fehr; Haolin Chen; François Marelli; François Fleuret; James Henderson 001 (ACL (1), 2023)

RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question. - Alireza Mohammadshahi; Thomas Scialom; Majid Yazdani; Pouya Yanki; Angela Fan; James Henderson 001; Marzieh Saeidi (ACL (Findings), 2023)

Learning to Abstract with Nonparametric Variational Information Bottleneck. - Melika Behjati; Fabio Fehr; James Henderson 001 (EMNLP (Findings), 2023)

A VAE for Transformers with Nonparametric Variational Information Bottleneck. - James Henderson 001; Fabio Fehr (ICLR, 2023)

Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling. - Alireza Mohammadshahi; James Henderson 001 (RepL4NLP@ACL, 2023)

GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction. - Andrei C. Coman; Christos Theodoropoulos 001; Marie-Francine Moens; James Henderson 001 (CoRR, 2023)

Transformers as Graph-to-Graph Models. - James Henderson 001; Alireza Mohammadshahi; Andrei C. Coman; Lesly Miculicich (CoRR, 2023)

Nonparametric Variational Regularisation of Pretrained Transformers. - Fabio Fehr; James Henderson 001 (CoRR, 2023)

Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention. - Melika Behjati; James Henderson 001 (Trans. Mach. Learn. Res., 2023)

TESS: Text-to-Text Self-Conditioned Simplex Diffusion. - Rabeeh Karimi Mahabadi; Hamish Ivison; Jaesung Tae; James Henderson 001; Iz Beltagy; Matthew E. Peters; Arman Cohan (EACL (1), 2024)

Enhancing Biomedical Knowledge Discovery for Diseases: An Open-Source Framework Applied on Rett Syndrome and Alzheimer's Disease. - Christos Theodoropoulos 001; Andrei Catalin Coman; James Henderson 001; Marie-Francine Moens (IEEE Access, 2024)

Enhancing Biomedical Knowledge Discovery for Diseases: An End-To-End Open-Source Framework. - Christos Theodoropoulos 001; Andrei Catalin Coman; James Henderson 001; Marie-Francine Moens (CoRR, 2024)

Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors. - Andrei Catalin Coman; Christos Theodoropoulos 001; Marie-Francine Moens; James Henderson 001 (ACL (Findings), 2025)

Reduction of Supervision for Biomedical Knowledge Discovery. - Christos Theodoropoulos 001; Andrei Catalin Coman; James Henderson 001; Marie-Francine Moens (CoRR, 2025)