James Henderson

Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors ACL 2025 RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation EMNLP 2025 TESS: Text-to-Text Self-Conditioned Simplex Diffusion EACL 2024 GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction ACL 2024 Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts EACL 2024 Generating Interpretations of Policy Announcements EMNLP 2024 Transformers as Graph-to-Graph Models EMNLP 2023 Learning to Abstract with Nonparametric Variational Information Bottleneck EMNLP 2023 HyperMixer: An MLP-based Low Cost Alternative to Transformers ACL 2023 RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question ACL 2023 Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling ACL 2023 A VAE for Transformers with Nonparametric Variational Information Bottleneck ICLR 2023 Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformers NAACL 2022 Prompt-free and Efficient Few-shot Learning with Language Models ACL 2022 Graph Refinement for Coreference Resolution ACL 2022 Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation AACL 2022 A Corpus and Evaluation for Predicting Semi-Structured Human Annotations EMNLP 2022 Unsupervised Token-level Hallucination Detection from Summary Generation By-products EMNLP 2022 What Do Compressed Multilingual Machine Translation Models Forget? EMNLP 2022 SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages EMNLP 2022 Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation IJCNLP 2022 Compacter: Efficient Low-Rank Hypercomplex Adapter Layers NIPS 2021 Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks ACL 2021 The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task ACL 2021 Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning CONLL 2021 Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning EMNLP 2021 Sentence-level Planning for Especially Abstractive Summarization EMNLP 2021 Variational Information Bottleneck for Effective Low-Resource Fine-Tuning ICLR 2021 Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks IJCNLP 2021 The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task IJCNLP 2021 Multi-Adversarial Learning for Cross-Lingual Word Embeddings NAACL 2021 Plug and Play Autoencoders for Conditional Text Generation EMNLP 2020 Partially-supervised Mention Detection COLING 2020 End-to-End Bias Mitigation by Modelling Biases in Corpora ACL 2020 Graph-to-Graph Transformer for Transition-based Dependency Parsing EMNLP 2020 The Unstoppable Rise of Computational Linguistics in Deep Learning ACL 2020 Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings IJCNLP 2019 Deep Residual Output Layers for Neural Language Generation ICML 2019 Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings EMNLP 2019 Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation EMNLP 2018 Document-Level Neural Machine Translation with Hierarchical Attention Networks EMNLP 2018 CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later CONLL 2017 A Vector Space for Distributional Semantics for Entailment ACL 2016 A Model of Zero-Shot Learning of Spoken Language Understanding EMNLP 2015 Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training CONLL 2015 Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions EMNLP 2015 Named entity recognition with document-specific KB tag gazetteers EMNLP 2015 Undirected Machine Translation with Discriminative Reinforcement Learning EACL 2014 Graph-Based Seed Set Expansion for Relation Extraction Using Random Walk Hitting Times NAACL 2013 Heuristic Cube Pruning in Linear Time ACL 2012 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning CONLL 2012 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning EMNLP 2012 Unsupervised Semantic Role Induction with Global Role Ordering ACL 2012 Temporal Restricted Boltzmann Machines for Dependency Parsing ACL 2011 Heuristic Search for Non-Bottom-Up Tree Structure Prediction EMNLP 2011 Scaling up Automatic Cross-Lingual Semantic Role Annotation ACL 2011 Incremental Sigmoid Belief Networks for Grammar Learning JMLR 2010 Domain Adaptation with Artificial Data for Semantic Parsing of Speech NAACL 2009 A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages CONLL 2009 A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies CONLL 2008 Mixture Model POMDPs for Efficient Handling of Uncertainty in Dialogue Management ACL 2008 Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model EMNLP 2007 Constituent Parsing with Incremental Sigmoid Belief Networks ACL 2007 Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model CONLL 2007 Loss Minimization in Parse Reranking EMNLP 2006 An ISU Dialogue System Exhibiting Reinforcement Learning of Dialogue Policies: Generic Slot-Filling in the TALK In-car System EACL 2006 Porting Statistical Parsers with Data-Defined Kernels CONLL 2006 Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models ACL 2005 Discriminative Training of a Neural Network Statistical Parser ACL 2004 Neural Network Probability Estimation for Broad Coverage Parsing EACL 2003 Inducing History Representations for Broad Coverage Statistical Parsing NAACL 2003 Using Syntactic Analysis to Increase Efficiency in Visualizing Text Collections COLING 2002