James Henderson

Orcid: 0000-0003-3714-4799

Affiliations:
  • Idiap Research institute, Martigny, Switzerland
  • Xerox Research Centre Europe, Grenoble, France
  • University of Geneva, Department of Computer Science, Switzerland
  • University of Edinburgh, Institute for Communicating and Collaborative Systems, UK
  • University of Exeter, Department of Computer Science, UK
  • University of Pennsylvania, Philadelphia, PA, USA (PhD)


According to our database1, James Henderson authored at least 105 papers between 1991 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors.
CoRR, 2024

Enhancing Biomedical Knowledge Discovery for Diseases: An End-To-End Open-Source Framework.
CoRR, 2024

TESS: Text-to-Text Self-Conditioned Simplex Diffusion.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention.
Trans. Mach. Learn. Res., 2023

Nonparametric Variational Regularisation of Pretrained Transformers.
CoRR, 2023

Transformers as Graph-to-Graph Models.
CoRR, 2023

GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction.
CoRR, 2023

Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

A VAE for Transformers with Nonparametric Variational Information Bottleneck.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Abstract with Nonparametric Variational Information Bottleneck.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

HyperMixer: An MLP-based Low Cost Alternative to Transformers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A Variational AutoEncoder for Transformers with Nonparametric Variational Information Bottleneck.
CoRR, 2022

PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models.
CoRR, 2022

HyperMixer: An MLP-based Green AI Alternative to Transformers.
CoRR, 2022

Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformers.
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

What Do Compressed Multilingual Machine Translation Models Forget?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Graph Refinement for Coreference Resolution.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Prompt-free and Efficient Few-shot Learning with Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement.
Trans. Assoc. Comput. Linguistics, 2021

Towards syntax-aware token embeddings.
Nat. Lang. Eng., 2021

The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task.
CoRR, 2021

Inducing Meaningful Units from Character Sequences with Slot Attention.
CoRR, 2021

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Adversarial Learning for Cross-Lingual Word Embeddings.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Variational Information Bottleneck for Effective Low-Resource Fine-Tuning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Graph-to-Graph Transformer for Transition-based Dependency Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Plug and Play Autoencoders for Conditional Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

End-to-End Bias Mitigation by Modelling Biases in Corpora.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

The Unstoppable Rise of Computational Linguistics in Deep Learning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
GILE: A Generalized Input-Label Embedding for Text Classification.
Trans. Assoc. Comput. Linguistics, 2019

Simple but effective techniques to reduce biases.
CoRR, 2019

Partially-supervised Mention Detection.
CoRR, 2019

Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains.
CoRR, 2019

Deep Residual Output Layers for Neural Language Generation.
Proceedings of the 36th International Conference on Machine Learning, 2019

Implicit Discourse Relation Classification with Syntax-Aware Contextualized Word Representations.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation.
Trans. Assoc. Comput. Linguistics, 2018

Joint Input-Label Embedding for Neural Text Classification.
CoRR, 2018

Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Document-Level Neural Machine Translation with Hierarchical Attention Networks.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Learning Word Embeddings for Hyponymy with Entailment-Based Distributional Semantics.
CoRR, 2017

Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction.
CoRR, 2017

CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later.
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, 2017

2016
A Bayesian Model of Multilingual Unsupervised Semantic Role Induction.
CoRR, 2016

Modeling the Non-Substitutability of Multiword Expressions with Distributional Semantics and a Log-Linear Model.
Proceedings of the 12th Workshop on Multiword Expressions, 2016

A Vector Space for Distributional Semantics for Entailment.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
A Model of Zero-Shot Learning of Spoken Language Understanding.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Named entity recognition with document-specific KB tag gazetteers.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

2014

Undirected Machine Translation with Discriminative Reinforcement Learning.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2013
Efficient Computation of Mean Truncated Hitting Times on Very Large Graphs
CoRR, 2013

Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model.
Comput. Linguistics, 2013

Demonstration of the PARLANCE system: a data-driven incremental, spoken dialogue system for interactive search.
Proceedings of the SIGDIAL 2013 Conference, 2013

Graph-Based Seed Set Expansion for Relation Extraction Using Random Walk Hitting Times.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Semantic Hyperlocal Search for Parlance Mobile Spoken Dialogue System.
Proceedings of the Semantic Web: ESWC 2013 Satellite Events, 2013

2012
Heuristic Cube Pruning in Linear Time.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Unsupervised Semantic Role Induction with Global Role Ordering.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Bayesian Network Automata for Modelling Unbounded Structures.
Proceedings of the 12th International Conference on Parsing Technologies, 2011

Heuristic Search for Non-Bottom-Up Tree Structure Prediction.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Scaling up Automatic Cross-Lingual Semantic Role Annotation.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Temporal Restricted Boltzmann Machines for Dependency Parsing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Incremental Sigmoid Belief Networks for Grammar Learning.
J. Mach. Learn. Res., 2010

Faster cube pruning.
Proceedings of the 2010 International Workshop on Spoken Language Translation, 2010

A Latent Variable Model for Generative Dependency Parsing.
Proceedings of the Trends in Parsing Technology, 2010

2009
Automatic annotation of context and speech acts for dialogue corpora.
Nat. Lang. Eng., 2009

Domain Adaptation with Artificial Data for Semantic Parsing of Speech.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Online Graph Planarisation for Synchronous Parsing of Semantic and Syntactic Dependencies.
Proceedings of the IJCAI 2009, 2009

A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task, 2009

2008
Hybrid Reinforcement/Supervised Learning of Dialogue Policies from Fixed Data Sets.
Comput. Linguistics, 2008

A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies.
Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008

Mixture Model POMDPs for Efficient Handling of Uncertainty in Dialogue Management.
Proceedings of the ACL 2008, 2008

2007
A Latent Variable Model for Generative Dependency Parsing.
Proceedings of the Tenth International Conference on Parsing Technologies, 2007

Incremental Bayesian networks for structure prediction.
Proceedings of the Machine Learning, 2007

Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model.
Proceedings of the EMNLP-CoNLL 2007, 2007

Constituent Parsing with Incremental Sigmoid Belief Networks.
Proceedings of the ACL 2007, 2007

2006
Evaluating Effectiveness and Portability of Reinforcement Learned Dialogue Strategies with Real Users: the Talk Towninfo Evaluation.
Proceedings of the 2006 IEEE ACL Spoken Language Technology Workshop, 2006

User simulation for spoken dialogue systems: learning and evaluation.
Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Loss Minimization in Parse Reranking.
Proceedings of the EMNLP 2006, 2006

An ISU Dialogue System Exhibiting Reinforcement Learning of Dialogue Policies: Generic Slot-Filling in the TALK In-car System.
Proceedings of the EACL 2006, 2006

Porting Statistical Parsers with Data-Defined Kernels.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

2005
Learning user simulations for information state update dialogue systems.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models.
Proceedings of the ACL 2005, 2005

2004
Estimating probabilities for unbounded categorization problems.
Neurocomputing, 2004

Discriminative Training of a Neural Network Statistical Parser.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2003
Towards Effective Parsing with Neural Networks: Inherent Generalisations and Bounded Resource Effects.
Appl. Intell., 2003

Inducing History Representations for Broad Coverage Statistical Parsing.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

Generative versus Discriminative Models for Statistical Left-Corner Parsing.
Proceedings of the Eighth International Conference on Parsing Technologies, 2003

Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Neural Network Probability Estimation for Broad Coverage Parsing.
Proceedings of the EACL 2003, 2003

2002
Using NLP to Efficiently Visualize Text Collections with SOMs.
Proceedings of the 13th International Workshop on Database and Expert Systems Applications (DEXA 2002), 2002

Using Syntactic Analysis to Increase Efficiency in Visualizing Text Collections.
Proceedings of the 19th International Conference on Computational Linguistics, 2002

2001
Incremental Syntactic Parsing of Natural Language Corpora with Simple Synchrony Networks.
IEEE Trans. Knowl. Data Eng., 2001

Segmenting State into Entities and Its Implication for Learning.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

2000
A Neural Network Parser that Handles Sparse Data.
Proceedings of the Sixth Internatonal Workshop on Parsing Technologies, 2000

1998
A Connectionist Architecture for Learning to Parse.
Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, 1998

1992
A Connectionist Parser for Structure Unification Grammar.
Proceedings of the 30th Annual Meeting of the Association for Computational Linguistics, 28 June, 1992

1991
An Incremental Connectionist Phrase Structure Parser.
Proceedings of the 29th Annual Meeting of the Association for Computational Linguistics, 1991


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