- QED: The Edinburgh TREC-2003 Question Answering System Jochen L. Leidner Johan Bos Tiphaine Dalmas James R. Curran
- Random Indexing using Statistical Weight Functions James Gorman and James R. Curran
- Formalisation of Transformation-based Learning James R. Curran and Raymond K. Wong
- Augmenting Approximate Similarity Searching with Lexical Information James Gorman and James R. Curran
- Ensemble Methods for Automatic Thesaurus Extraction James R. Curran
- Linguistically Motivated LargeScale NLP with C&C and Boxer James R. Curran
- MultiTagging for LexicalizedGrammar Parsing James R. Curran
- Scaling Context Space James R. Curran and Marc Moens
- Question Classification with LogLinear Models Phil Blunsom
- Minimising semantic drift with Mutual Exclusion Bootstrapping James R. Curran and Tara Murphy and Bernhard Scholz
- Bootstrapping POS taggers using Unlabelled Data Stephen Clark, James R. Curran and Miles Osborne
- Web Text Corpus for Natural Language Processing Vinci Liu and James R. Curran
- Distributional Similarity of Multi-Word Expressions Laura Ingram and James R. Curran
- Efficient Combinatory Categorial Grammar Parsing Bojan Djordjevic and James R. Curran
- Parsing the WSJ using CCG and Log-Linear Models Stephen Clark
- Formalism-Independent Parser Evaluation with CCG and DepBank Stephen Clark
- Proceedings of the 5th Workshop on Important Unresolved Matters, pages 8996, Ann Arbor, June 2005. c 2005 Association for Computational Linguistics
- Improving the complement/adjunct distinction in CCGbank Matthew Honnibal and James R. Curran
- Challenges for extracting biomedical knowledge from full text Tara McIntosh
- Sentence retrieval for extracting biomedical knowledge Tara McIntosh and James R. Curran
- Experiments in Mutual Exclusion Bootstrapping Tara Murphy and James R. Curran
- Adding Noun Phrase Structure to the Penn Treebank David Vadas and James R. Curran
- Building a Search Engine to Drive Problem-Based Learning Steven Bird
- Words and Word Usage: Newspaper Text versus the Web Vinci Liu and James R. Curran
- Domain-Specific Web Site Identification: The CROSSMARC Focused Web Crawler
- Extending CCGbank with quotes and multimodal CCG Daniel Tse and James R. Curran
- Blueprint for a High Performance NLP Infrastructure James R. Curran
- WideCoverage Efficient Statistical Parsing with CCG and LogLinear Models
- ObjectExtraction and QuestionParsing using CCG Stephen Clark and Mark Steedman
- Programming With Unrestricted Natural Language David Vadas and James R. Curran
- LargeScale Supervised Models for Noun Phrase Bracketing David Vadas and James R. Curran
- Improvements in Automatic Thesaurus Extraction James R. Curran and Marc Moens
- Log-Linear Models for Wide-Coverage CCG Parsing Stephen Clark and James R. Curran
- Tagging Unknown Words with Raw Text Features David Vadas and James R. Curran
- WideCoverage Semantic Representations from a CCG Parser Johan Bos, Stephen Clark, Mark Steedman
- Supersense Tagging of Unknown Nouns using Semantic Similarity James R. Curran
- LogLinear Models for WideCoverage CCG Parsing Stephen Clark and James R. Curran
- Adding Noun Phrase Structure to the Penn Treebank David Vadas and James R. Curran
- Web Text Corpus for Natural Language Processing Vinci Liu and James R. Curran
- Named Entity Recognition for Astronomy Literature Tara Murphy and Tara McIntosh and James R. Curran
- The Importance of Supertagging for WideCoverage CCG Parsing Stephen Clark
- Supersense Tagging of Unknown Nouns using Semantic Similarity James R. Curran
- Parsing the WSJ using CCG and LogLinear Models Stephen Clark
- Augmenting Approximate Similarity Searching with Lexical Information James Gorman and James R. Curran
- Scaling Context Space James R. Curran and Marc Moens
- Ensemble Methods for Automatic Thesaurus Extraction James R. Curran
- Random Indexing using Statistical Weight Functions James Gorman and James R. Curran
- Named Entity Recognition for Astronomy Literature Tara Murphy and Tara McIntosh and James R. Curran
- Perceptron Training for a WideCoverage LexicalizedGrammar Parser Stephen Clark
- Transformation-Based Learning in Shallow Natural Language Processing
- Building a Search Engine to Drive ProblemBased Learning Steven Bird
- Transformation-Based Learning for Automatic Translation from HTML to XML
- Bootstrapping POS taggers using Unlabelled Data Stephen Clark, James R. Curran and Miles Osborne
- Scaling Distributional Similarity to Large Corpora James Gorman and James R. Curran
- Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
- Investigating GIS and Smoothing for Maximum Entropy Taggers James R. Curran and Stephen Clark
- A very very large corpus doesn't always yield reliable estimates James R. Curran and Miles Osborne
- Minimising semantic drift with Mutual Exclusion Bootstrapping James R. Curran and Tara Murphy and Bernhard Scholz
- Experiments in Mutual Exclusion Bootstrapping Tara Murphy and James R. Curran
- Investigating GIS and Smoothing for Maximum Entropy Taggers James R. Curran and Stephen Clark
- Wide-Coverage Semantic Representations from a CCG Parser Johan Bos, Stephen Clark, Mark Steedman
- Perceptron Training for a Wide-Coverage Lexicalized-Grammar Parser Stephen Clark
- FormalismIndependent Parser Evaluation with CCG and DepBank Stephen Clark
- Approximate Searching for Distributional Similarity James Gorman and James R. Curran
- Partial Training for a Lexicalized-Grammar Parser Stephen Clark
- Question Answering with QED at TREC-2005 Kisuh Ahn, Johan Bos, James R. Curran
- From Distributional to Semantic Similarity James Richard Curran
- A Distributed Architecture for Interactive Parse Annotation Baden Hughes
- Extending CCGbank with quotes and multi-modal CCG Daniel Tse and James R. Curran
- The Importance of Supertagging for Wide-Coverage CCG Parsing Stephen Clark
- Language Independent NER using a Maximum Entropy Tagger James R. Curran and Stephen Clark
- Efficient Combinatory Categorial Grammar Parsing Bojan Djordjevic and James R. Curran
- Improving the complement/adjunct distinction in CCGbank Matthew Honnibal and James R. Curran
- Approximate Searching for Distributional Similarity James Gorman and James R. Curran
- Transformation-based Learning in Document Format Processing James R. Curran and Raymond K. Wong
- Scaling Distributional Similarity to Large Corpora James Gorman and James R. Curran
- Words and Word Usage: Newspaper Text versus the Web Vinci Liu and James R. Curran
- Blueprint for a High Performance NLP Infrastructure James R. Curran
- Question Answering with QED and Wee at TREC-2004 Kisuh Ahn, Johan Bos, Stephen Clark, James R. Curran
- Question Classification with Log-Linear Models Phil Blunsom
- Partial Training for a LexicalizedGrammar Parser Stephen Clark
- Multi-Tagging for Lexicalized-Grammar Parsing James R. Curran
- Large-Scale Supervised Models for Noun Phrase Bracketing David Vadas and James R. Curran
- Parsing Internal Noun Phrase Structure with Collins' Models David Vadas and James R. Curran
- Language Independent NER using a Maximum Entropy Tagger James R. Curran and Stephen Clark
- Parsing Internal Noun Phrase Structure with Collins' Models David Vadas and James R. Curran
- Improving the Efficiency of a Wide-Coverage CCG Parser Bojan Djordjevic and James R. Curran
- Linguistically Motivated Large-Scale NLP with C&C and Boxer James R. Curran
- Improvements in Automatic Thesaurus Extraction James R. Curran and Marc Moens
