← Authors

James Henderson

72 papers · 2002–2025 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (75) πŸƒ Academic Marathon (23) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🏠 Conference Loyalist (22) 🐺 Lone Wolf (4) 🧬 Topic Evolution 🌱 Topic Pioneer πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (177) ⚑ Prolific Year (10) πŸš€ Conference Pioneer πŸ’Ž Century Club (72) πŸ”₯ Unstoppable (24) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

EMNLP (22) ACL (20) CONLL (8) EACL (5) NAACL (5) IJCNLP (4) COLING (2) ICLR (2) AACL (1) ICML (1) JMLR (1) NIPS (1)

Top co-authors

Ivan Titov (9) Paola Merlo (9) Alireza Mohammadshahi (9) Rabeeh Karimi Mahabadi (7) Majid Yazdani (5) Lesly Miculicich (5) Christos Theodoropoulos (4) Andreas Marfurt (4) Haozhou Wang (4) Andrea Gesmundo (4)

Keywords

text generation (5) unsupervised learning (4) universal dependencies (3) parameter-efficient fine-tuning (3) dependency parsing (3) structured prediction (3) representation learning (3) graph neural network (3) neural machine translation (3) cross-lingual word embedding (3) embedding space (3) variational inference (2) adversarial learning (2) transfer learning (2) adversarial training (2) few-shot learning (2) multilingual translation (2) contrastive learning (2) multi-task learning (2) natural language inference (2)

Papers

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