James Henderson

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Local Address

Dr James Henderson
School of Informatics
University of Edinburgh
2 Buccleuch Place
Edinburgh EH8 9LW
United Kingdom

email: James.Henderson@ed.ac.uk
tel: +44 131 650 8286
fax: +44 131 650 4587

Bio

Dr Henderson has been a Research Fellow in the Institute for Communicating and Collaborative Systems at the University of Edinburgh since April 2004. Before coming to Edinburgh he held the position of Maître-Assistant in the AI Lab in the Department of Computer Science at the University of Geneva, Switzerland. Before that he held the position of Lecturer in the Department of Computer Science at the University of Exeter, UK. He received his PhD and MSc from the University of Pennsylvania, and his BSc from the Massachusetts Institute of Technology, USA.

Research

- Latent Variable Models for Structure Processing applied to Broad Coverage Natural Language Parsing
- Neural Networks for Structure Processing applied to Broad Coverage Natural Language Parsing
- TALK Project: Reinforcement Learning for dialog management
- Text Mining: Combining Machine Learning and NLP Techniques  for Text Clustering and Visualization

Software

SSN Statistical Parser: A broad coverage natural language syntactic parser.

ISBN Dependency Parser: The statistical dependency parser described in [Titov and Henderson, IWPT 2007] and evaluated in [Titov and Henderson, EMNLP-CoNLL 2007].

Teaching

ESSLLI 2006 lecture slides from course on Machine Learning and Dialogue.
Apply to study for a PhD in Informatics at the University of Edinburgh.

Collaborators

Oliver Lemon, University of Edinburgh
Ivan Titov, University of Geneva
Paola Merlo, University of Geneva
Gabriele Musillo, University of Geneva

Publications

I.Titov and J.Henderson. Incremental Bayesian Networks for Structure Prediction. In Proc. 24th International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA , 2007.

I.Titov and J.Henderson. Constituent Parsing with Incremental Sigmoid Belief Networks. In Proc. 45th Meeting of Association for Computational Linguistics (ACL 2007), Prague, Czech Republic, 2007.

I.Titov and J.Henderson. A Latent Variable Model for Generative Dependency Parsing. In Proc. International Conference on Parsing Technologies (IWPT 2007), Prague, Czech Republic, 2007.

I.Titov and J.Henderson. Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model. In Proc. Joint Conf. on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2007), Prague, Czech Republic, 2007. (CoNLL Shared Task, 3rd result out of 23)

I.Titov and J.Henderson. Loss minimization in parse reranking. In Proc. 2006 Conf. on Empirical Methods in Natural Language Processing (EMNLP 2006), Sydney, Australia, 2006.

I.Titov and J.Henderson. Porting statistical parsers with data-defined kernels. In Proc. Tenth Conf. on Computational Natural Language Learning (CoNLL 2006), New York, NY, USA, 2006.

I.Titov and J.Henderson. Bayes Risk Minimization in Natural Language Parsing. Technical report. University of Geneva, 2006. [Send email to Ivan Titov if you would like the implementation]

J.Henderson and I.Titov. Data-defined kernels for parse reranking derived from probabilistic models. In Proc. 43nd Meeting of Association for Computational Linguistics (ACL 2005), Ann Arbor, MI, USA, 2005.

I.Titov and J.Henderson. Deriving kernels from MLP probability estimators for large categorization problems. In Proc. 2005 International Joint Conf. on Neural Networks (IJCNN 2005), Montreal, Quebec, Canada, 2005.

J.Henderson, O.Lemon, and K.Georgila. Hybrid reinforcement/supervised learning for dialogue policies from COMMUNICATOR data. In Proc. IJCAI workshop on Knowledge and Reasoning in Practical Dialogue Systems, Edinburgh, UK, 2005.

K.Georgila, J.Henderson, and O.Lemon. Learning User Simulations for Information State Update Dialogue Systems. In Proc. 9th European Conf. on Speech Communication and Technology (INTERSPEECH - EUROSPEECH 2005), Lisbon, Portugal, 2005.

K.Georgila, O.Lemon, and J.Henderson. Automatic annotation of COMMUNICATOR dialogue data for learning dialogue strategies and user simulations. In Proc. Ninth Workshop on the Semantics and Pragmatics of Dialogue (SEMDIAL: DIALOR 2005), Nancy, France, 2005.

J.Henderson. Discriminative training of a neural network statistical parser. In Proc. 42nd Meeting of Association for Computational Linguistics (ACL 2004), Barcelona, Spain, 2004.

J.Henderson. Lookahead in deterministic left-corner parsing. In Proc. Workshop on Incremental Parsing: Bringing Engineering and Cognition Together, Barcelona, Spain, 2004.

J.Henderson. Estimating Probabilities for Unbounded Categorization Problems. Neurocomputing, 57:77--86, 2004.

J.Henderson. A neural network parser that handles sparse data. In H. Bunt, J. Carroll, and G. Satta, editors, New Developments in Parsing Technology. Kluwer, Boston/Dordrecht/London, 2004.

J.Henderson. Inducing History Representations for Broad Coverage Statistical Parsing. In Proceedings of the joint meeting of the North American Chapter of the Association for Computational Linguistics and the Human Language Technology Conference (HLT-NAACL 2003), pages 103-110, Edmonton, Canada, 2003.

J.Henderson. Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing. In Proceedings of 13th Int. Conf. on Artificial Neural Networks (ICANN/ICONIP 2003), Istanbul, Turkey, 2003.

J.Henderson. Generative Versus Discriminative Models for Statistical Left-Corner Parsing. In Proceedings of 8th Int Workshop on Parsing Technologies (IWPT 2003), pages 115-126, Nancy, France, 2003.

J.Henderson. Neural network probability estimation for broad coverage parsing. In Proceedings of 10th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2003), pages 131-138, Budapest, Hungary, 2003.

P.Lane and J.Henderson. Towards effective parsing with neural networks: Inherent generalization and bounded resource effects. Applied Intelligence, 19(1):83-99, 2003.

J.Henderson, P.Merlo, I.Petroff, and G.Schneider. Using Syntactic Analysis to Increase Efficiency in Visualizing Text Collections. In Proceedings of the 19th International Conference on Computational Linguistics (COLING 2002), pages 335-341, Taipei, Taiwan, 2002.

J.Henderson, P.Merlo, I.Petroff, and G.Schneider. Using NLP to Efficiently Visualize Text Collections with SOMs. In Proceedings of the 3rd International Workshop on Natural Language and Information Systems (NLIS 2002), Aix-en-Provence, France, 2002.

J.Henderson. Estimating Probabilities for Unbounded Categorization Problems. In Proceedings the 10th European Symposium on Artificial Neural Networks (ESANN 2002), pages 383-388, Bruges, Belgium, 2002.

P.Lane and J.Henderson. Incremental Syntactic Parsing of Natural Language Corpora with Simple Synchrony Networks. In IEEE Transactions on Knowledge and Data Engineering, 13(2), 2001.

J.Henderson. Segmenting State into Entities and its Implication for Learning. In S.Wermter, J.Austin, and D.Willshaw, editors, Emergent Neural Computational Architectures based on Neuroscience, pages 227-236. Springer-Verlag, Heidelberg, Germany, 2001.

J.Henderson. Estimating a Probabilistic Grammar Using a Neural Network In Proceedings of the 1st workshop on Robust Methods in Analysis of Natural Language Data (ROMAND 2000), Lausanne, Switzerland, 2000.

J.Henderson. Segmenting State into Entities and its Implication for Learning In Proceedings of the International Workshop on Current Computational Architectures Integrating Neural Networks and Neuroscience (EmerNet 2000), Durham, UK, 2000.

J.Henderson. A Neural Network Parser that Handles Sparse Data. In Proceedings of the 6th International Workshop on Parsing Technologies (IWPT 2000), pages 123-134, Trento, Italy, 2000.

J.Henderson. Constituency, Context, and Connectionism in Syntactic Parsing. In M.Crocker, M.Pickering, and C.Clifton, editors, Architectures and Mechanisms for Language Processing, pages 189--209. Cambridge University Press, Cambridge UK, 2000.

J.Henderson and P.Lane. A Connectionist Architecture for Learning to Parse. In Proceedings of 17th International Conference on Computational Linguistics and the 36th Annual Meeting of the Association for Computational Linguistics (COLING-ACL`98), pages 531-537, University of Montreal, Canada, 1998.

P.Lane and J.Henderson. Simple Synchrony Networks: Learning to Parse Natural Language with Temporal Synchrony Variable Binding. In Proceedings of the 1998 International Conference on Artificial Neural Networks (ICANN`98), pages 615-620, Skövde, Sweden, 1998.

J.Henderson. A Connectionist Architecture with Inherent Systematicity. In Proceedings of the Cognitive Science Society (CogSci`96), pages 574--579, La Jolla, CA, 1996.

J.Henderson. Connectionist Syntactic Parsing Using Temporal Variable Binding. Journal of Psycholinguistic Research, 23(5):353--379, 1994.

J.Henderson. Description Based Parsing in a Connectionist Network. PhD thesis, University of Pennsylvania, Philadelphia, PA. Technical Report MS-CIS-94-46, 1994.

J.Henderson. A Connectionist Parser for Structure Unification Grammar. In Proceedings of the 30th Annual Meeting of the Association for Computational Linguistics (ACL`92), Newark, DE, 1992.

J.Henderson. A Structural Interpretation of Combinatory Categorial Grammar. Technical Report MS-CIS-92-49, University of Pennsylvania, Philadelphia, PA, 1992.

J.Henderson. Structure Unification Grammar: A Unifying Framework For Investigating Natural Language. Masters thesis, University of Pennsylvania, Philadelphia, PA. Technical Report MS-CIS-90-94, 1990.

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Curriculum Vitae