James Henderson

发表

Modeling the Non-Substitutability of Multiword Expressions with Distributional Semantics and a Log-Linear Model

Meghdad Farahmand, James Henderson, 2016, MWE@ACL.

Learning Word Embeddings for Hyponymy with Entailment-Based Distributional Semantics pdf

James Henderson, James Henderson, 2017, ArXiv.

Simple but effective techniques to reduce biases pdf

James Henderson, Rabeeh Karimi Mahabadi, James Henderson, 2019, ArXiv.

An Integrated Approach to Pipeline Buoyancy Control and Implementation

James Henderson, Lance N. Thomas, 2004 .

Data-Driven Methods for Spoken Language Understanding

James Henderson, Filip Jurčíček, 2012 .

Two alternative frameworks for deploying spoken dialogue systems to mobile platforms for evaluation “in the wild”

Oliver Lemon, Nina Dethlefs, Helen Hastie, 2014 .

A Vector Space for Distributional Semantics for Entailment pdf

James Henderson, Diana Nicoleta Popa, James Henderson, 2016, ACL.

D5.1.2: Final Communication Architecture and Module Interface Definitions

Oliver Lemon, Romain Laroche, Verena Rieser, 2010 .

Estimating a Probabilistic Grammar Using a Neural Network

James Henderson, 2000 .

Connectionist syntactic parsing using temporal variable binding

James Henderson, James Henderson, 1994 .

Faster cube pruning

James Henderson, Andrea Gesmundo, James Henderson, 2010, IWSLT.

Inducing History Representations for Broad Coverage Statistical Parsing

James Henderson, 2003, HLT-NAACL.

Implicit Discourse Relation Classification with Syntax-Aware Contextualized Word Representations

James Henderson, Éric Gaussier, Julien Perez, 2019, FLAIRS Conference.

Review: Ada for Software Engineers

James Henderson, 1999 .

IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence, Pasadena, California, USA, July 11-17, 2009

Ivan Titov, James Henderson, Gabriele Musillo, 2009, International Joint Conference on Artificial Intelligence.

Efficient Computation of Mean Truncated Hitting Times on Very Large Graphs pdf

James Henderson, Joel Lang, 2013, ArXiv.

Advanced multifunctional detectors for laser-gated imaging applications

James Henderson, Peter Thorne, Ian Baker, 2006, SPIE Defense + Commercial Sensing.

Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation

James Henderson, Nikolaos Pappas, Lesly Miculicich Werlen, 2018, WMT.

Hybrid reinforcement/supervised learning for dialogue policies from COMMUNICATOR data

Kallirroi Georgila, Oliver Lemon, James Henderson, 2005 .

Joint Input-Label Embedding for Neural Text Classification pdf

James Henderson, Nikolaos Pappas, James Henderson, 2018, ArXiv.

Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model

Ivan Titov, James Henderson, Gabriele Musillo, 2013, CL.

Porting Statistical Parsers with Data-Defined Kernels

Ivan Titov, James Henderson, 2006, CoNLL.

Architectures and Mechanisms for Language Processing: Constituency, Context, and Connectionism in Syntactic Parsing

James Henderson, 1999 .

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2012, July 12-14, 2012, Jeju Island, Korea

James Henderson, Marius Pasca, Jun'ichi Tsujii, 2012, EMNLP-CoNLL.

A Connectionist Architecture with Inherent Systematicity0

James Henderson, 2007 .

A Neural Network Parser that Handles Sparse Data

James Henderson, 2000, IWPT.

A Connectionist Parser for Structure Unification Grammar

James Henderson, James Henderson, 1992, ACL.

A framework for improving software maintenance efficiency

Hossein Saiedian, James Henderson, 1994 .

A Model of Zero-Shot Learning of Spoken Language Understanding

James Henderson, Majid Yazdani, James Henderson, 2015, EMNLP.

Review: Success with Electronic Business: Design, Architecture and Technology of Electronic Business Systems

James Henderson, 2000 .

Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains pdf

James Henderson, Nikolaos Pappas, Navid Rekabsaz, 2019, ArXiv.

Temporal Restricted Boltzmann Machines for Dependency Parsing

James Henderson, Nikhil Garg, 2011, ACL.

Mixture Model POMDPs for Efficient Handling of Uncertainty in Dialogue Management

Oliver Lemon, James Henderson, 2008, ACL.

Learning user simulations for information state update dialogue systems

Kallirroi Georgila, Oliver Lemon, James Henderson, 2005, INTERSPEECH.

Bits, Bytes, and Bricks: The Impact of Technology on Classroom Architecture.

James Henderson, 1996 .

Incremental Syntactic Parsing of Natural Language Corpora with Simple Synchrony Networks

James Henderson, Peter Lane, James Henderson, 2001, IEEE Trans. Knowl. Data Eng..

Neural Network Probability Estimation for Broad Coverage Parsing

James Henderson, 2003, EACL.

Automatic annotation of COMMUNICATOR dialogue data for learning dialogue strategies and user simulations

Kallirroi Georgila, Oliver Lemon, James Henderson, 2005 .

Named entity recognition with document-specific KB tag gazetteers

James Henderson, Xavier Carreras, Will Radford, 2015, EMNLP.

Bayesian Network Automata for Modelling Unbounded Structures

James Henderson, James Henderson, 2011, IWPT.

Proceedings of the Tenth Conference on Computational Natural Language Learning, CoNLL 2006, New York City, USA, June 8-9, 2006

Ivan Titov, James Henderson, 2006, CoNLL.

Segmenting State into Entities and Its Implication for Learning

James Henderson, James Henderson, 2001, Emergent Neural Computational Architectures Based on Neuroscience.

A Latent Variable Model for Generative Dependency Parsing

Ivan Titov, James Henderson, Ivan Titov, 2007, Trends in Parsing Technology.

Discriminative Training of a Neural Network Statistical Parser

James Henderson, James Henderson, 2004, ACL.

Demonstration of the PARLANCE system: a data-driven incremental, spoken dialogue system for interactive search

Helen F. Hastie, Oliver Lemon, Nina Dethlefs, 2013, SIGDIAL Conference.

Hybrid Reinforcement/Supervised Learning of Dialogue Policies from Fixed Data Sets

Kallirroi Georgila, Oliver Lemon, James Henderson, 2008, CL.

Towards Effective Parsing with Neural Networks: Inherent Generalisations and Bounded Resource Effects

James Henderson, Peter C. R. Lane, James Henderson, 2003, Applied Intelligence.

A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages

Ivan Titov, James Henderson, Paola Merlo, 2009, CoNLL Shared Task.

Incremental Bayesian networks for structure prediction

Ivan Titov, James Henderson, Ivan Titov, 2007, ICML '07.

Learning Document Similarity Using Natural Language Processing

Gerold Schneider, James Henderson, Eric Wehrli, 2013 .

Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions

Meghdad Farahmand, James Henderson, Majid Yazdani, 2015, EMNLP.

Undirected Machine Translation with Discriminative Reinforcement Learning

James Henderson, Andrea Gesmundo, James Henderson, 2014, EACL.

Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing

James Henderson, 2003, ICANN.

Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model

Ivan Titov, James Henderson, 2007, EMNLP-CoNLL.

Deep Residual Output Layers for Neural Language Generation

James Henderson, Nikolaos Pappas, James Henderson, 2019, ICML.

Planning for Software Maintenance Education Within a Computee Science Framework

Hossein Saiedian, James Henderson, H. Saiedian, 1994, Comput. Sci. Educ..

DEVELOPMENT OF AN INTERACTIVE REUSABLE ENQUIRY BASED LEARNING (EBL) RESOURCE TO HELP TREAT EBL FATIGUE

James Henderson, Chris Palmer, Hannah Little, 2018 .

Scaling up Automatic Cross-Lingual Semantic Role Annotation

Lonneke van der Plas, James Henderson, Paola Merlo, 2011, ACL.

Loss Minimization in Parse Reranking

Ivan Titov, James Henderson, Ivan Titov, 2006, EMNLP.

Online graph planarisation for synchronous parsing of semantic and syntactic dependencies

Ivan Titov, James Henderson, Gabriele Musillo, 2009, IJCAI 2009.

Estimating probabilities for unbounded categorization problems

James Henderson, 2004, Neurocomputing.

Graph-Based Seed Set Expansion for Relation Extraction Using Random Walk Hitting Times

James Henderson, Joel Lang, 2013, HLT-NAACL.

Simple Synchrony Networks : Learning to Parse Natural Language with Temporal Synchrony Variable Binding

James Henderson, Peter C. R. Lane, James Henderson, 1998 .

Using Syntactic Analysis to Increase Efficiency in Visualizing Text Collections

Gerold Schneider, James Henderson, Paola Merlo, 2002, COLING.

Automatic annotation of context and speech acts for dialogue corpora

Kallirroi Georgila, Johanna D. Moore, Oliver Lemon, 2009, Natural Language Engineering.

CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later

James Henderson, Haozhou Wang, Paola Merlo, 2017, CoNLL Shared Task.

Constituent Parsing with Incremental Sigmoid Belief Networks

Ivan Titov, James Henderson, Ivan Titov, 2007, ACL.

Domain Adaptation with Artificial Data for Semantic Parsing of Speech

Lonneke van der Plas, James Henderson, Paola Merlo, 2009, HLT-NAACL.

Structure Unification Grammar: A Unifying Framework for Investigating Natural Language

James Henderson, James Henderson, 1990 .

Performance-Based Contract Crafting

Robert Barrett, James Henderson, Kandi Brown, 2010 .

An ISU Dialogue System Exhibiting Reinforcement Learning of Dialogue Policies: Generic Slot-Filling in the TALK In-car System

Kallirroi Georgila, Oliver Lemon, James Henderson, 2006, EACL.

Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training

James Henderson, Majid Yazdani, James Henderson, 2015, CoNLL.

Redefining the Military Element of National Power

James Henderson, James B. Henderson, 2003 .

Description-based parsing in a connectionist network

James Henderson, James Henderson, 1995 .

A Structural Interpretation of Combinatory Categorial Grammar

James Henderson, James Henderson, 1992 .

EVALUATING EFFECTIVENESS AND PORTABILITY OF REINFORCEMENT LEARNED DIALOGUE STRATEGIES WITH REAL USERS: THE TALK TOWNINFO EVALUATION

Kallirroi Georgila, Oliver Lemon, James Henderson, 2006, 2006 IEEE Spoken Language Technology Workshop.

An Incremental Connectionist Phrase Structure Parser

James Henderson, 1991, ACL.

Document-Level Neural Machine Translation with Hierarchical Attention Networks

James Henderson, Nikolaos Pappas, Dhananjay Ram, 2018, EMNLP.

Using NLP to efficiently visualize text collections with SOMs

Gerold Schneider, James Henderson, Paola Merlo, 2002, Proceedings. 13th International Workshop on Database and Expert Systems Applications.

Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings

James Henderson, Haozhou Wang, Paola Merlo, 2019, EMNLP.

A Bayesian Model of Multilingual Unsupervised Semantic Role Induction pdf

James Henderson, Nikhil Garg, James Henderson, 2016, ArXiv.

Heuristic Cube Pruning in Linear Time

Giorgio Satta, James Henderson, Andrea Gesmundo, 2012, ACL.

D1.3: POMDP Learning for ISU Dialogue Management

Oliver Lemon, Philippe Gelin, Paul A. Crook, 2010 .

Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction pdf

James Henderson, Diana Nicoleta Popa, James Henderson, 2017, ArXiv.

User simulation for spoken dialogue systems: learning and evaluation

Kallirroi Georgila, Oliver Lemon, James Henderson, 2006, INTERSPEECH.

Artificial Neural Networks

James Henderson, 2010 .

GILE: A Generalized Input-Label Embedding for Text Classification

James Henderson, Nikolaos Pappas, James Henderson, 2018, TACL.

D6. 1: Proposed Methods for Multimodal Experiments

Kallirroi Georgila, Oliver Lemon, Steve Young, 2004 .

Incremental Sigmoid Belief Networks for Grammar Learning

Ivan Titov, James Henderson, Ivan Titov, 2010, J. Mach. Learn. Res..

A Connectionist Architecture for Learning to Parse

James Henderson, Peter Lane, James Henderson, 1998, ACL.

A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies

Ivan Titov, James Henderson, Gabriele Musillo, 2008, CoNLL.

Heuristic Search for Non-Bottom-Up Tree Structure Prediction

James Henderson, Andrea Gesmundo, James Henderson, 2011, EMNLP.

Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models

Ivan Titov, James Henderson, 2005, ACL.

The Closer You Look, The More You Learn: A Grey-box Approach to Protocol State Machine Learning pdf

Tom Chothia, James Henderson, Mathy Vanhoef, 2021, CCS.

Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence

Allan Hanbury, James Henderson, Robert West, 2021, ICWSM.

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers pdf

James Henderson, Sebastian Ruder, Rabeeh Karimi Mahabadi, 2021, NeurIPS.