AAAI

• James R. Curran and Raymond K. Wong (1999).
  Transformation-Based Learning in Document Format Processing. In Papers from the AAAI Fall Symposium on Using Layout for the Generation, Understanding or Retrieval of Documents (AAAI), pages 75–79 AAAI Technical Report FS-99-04. [pdf][ps]

ACL

• Stephen Clark and James R. Curran (2007).
  Formalism-Independent Parser Evaluation with CCG and DepBank. In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), pages 248–255. [pdf][ps][acl]
• David Vadas and James R. Curran (2007).
  Adding Noun Phrase Structure to the Penn Treebank. In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), pages 240–247. [pdf][ps][acl]
• James R. Curran, Stephen Clark, and David Vadas (2006).
  Multi-Tagging for Lexicalized-Grammar Parsing. In Proceedings of the Joint Conference of the International Committee on Computational Linguistics and the Association for Computational Linguistics (ACL), pages 697–704. [pdf][ps][acl]
• James Gorman and James R. Curran (2006).
  Scaling Distributional Similarity to Large Corpora. In Proceedings of the Joint Conference of the International Committee on Computational Linguistics and the Association for Computational Linguistics (ACL), pages 361–368. [pdf][ps][acl]
• James R. Curran (2005).
  Supersense Tagging of Unknown Nouns Using Semantic Similarity. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), pages 26–33. [pdf][ps][acl]
• Stephen Clark and James R. Curran (2004).
  Parsing the WSJ using CCG and Log-Linear Models. In Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL), pages 104–111. [pdf][ps][acl]
• James R. Curran and Marc Moens (2002).
  Scaling Context Space. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), pages 231–238. [pdf][ps][acl]

ACL demo

• James R. Curran, Stephen Clark, and Johan Bos (2007).
  Linguistically Motivated Large-Scale NLP with C&C and Boxer. In Proceedings of the ACL 2007 Demonstrations (ACL demo), pages 33–36. [pdf][ps][acl]

ACSC

• James R. Curran and Raymond K. Wong (2000).
  Formalisation of Transformation-Based Learning. In Proceedings of the 23rd Australasian Computer Science Conference (ACSC), pages 51–57. [pdf][ps]

ADCS

• James R. Curran and Raymond K. Wong (1999).
  Transformation-Based Learning for Automatic Translation from HTML to XML. In Proceedings of the Fourth Australasian Document Computing Symposium (ADCS), pages 55–62. [pdf][ps]

ALTW

• Laura Ingram and James R. Curran (2007).
  Distributional Similarity of Multi-Word Expressions. In Proceedings of the Australasian Language Technology Workshop (ALTW), pages 146–148. [pdf][ps][www]
• Tara Murphy and James R. Curran (2007).
  Experiments in Mutual Exclusion Bootstrapping. In Proceedings of the Australasian Language Technology Workshop (ALTW), pages 66–74. [pdf][ps][www]
• Daniel Tse and James R. Curran (2007).
  Extending CCGbank with quotes and multi-modal CCG. In Proceedings of the Australasian Language Technology Workshop (ALTW), pages 149–151. [pdf][ps][www]
• David Vadas and James R. Curran (2007).
  Parsing Internal Noun Phrase Structure with Collins' Models. In Proceedings of the Australasian Language Technology Workshop (ALTW), pages 109–116. [pdf][ps][www]
• Bojan Djordjevic and James R. Curran (2006).
  Faster wide-coverage CCG parsing. In Proceedings of the Australasian Language Technology Workshop 2006 (ALTW), pages 3–10. [pdf][ps][www]
• Tara Murphy, Tara McIntosh, and James R. Curran (2006).
  Named Entity Recognition for Astronomy Literature. In Proceedings of the Australasian Language Technology Workshop 2006 (ALTW), pages 59–66. [pdf][ps][www]
• James Gorman and James R. Curran (2005).
  Augmenting Approximate Similarity Searching with Lexical Information. In Proceedings of the Australasian Language Technology Workshop (ALTW), pages 49–56. [pdf][ps][www]
• Baden Hughes, James Haggerty, Joel Nothman, Saritha Manickam, and James R. Curran (2005).
  A Distributed Architecture for Interactive Parse Annotation. In Proceedings of the Australasian Language Technology Workshop (ALTW), pages 207–214. [pdf][www]
• Vinci Liu and James R. Curran (2005).
  Words and Word Usage: Newspaper Text versus the Web. In Proceedings of the Australasian Language Technology Workshop (ALTW), pages 167–175. [pdf][ps][www]
• David Vadas and James R. Curran (2005).
  Tagging Unknown Words with Raw Text Features. In Proceedings of the Australasian Language Technology Workshop (ALTW), pages 32–39. [pdf][ps][www]
• David Vadas and James R. Curran (2005).
  Programming with Unrestricted Natural Language. In Proceedings of the Australasian Language Technology Workshop (ALTW), pages 191–199. [pdf][ps][www]

ApWeb

• Raymond K. Wong and James R. Curran (1999).
  TXP: a transaction-based XML parser. In Proceedings of the 1999 Asia Pacific Web Conference (ApWeb). [html]

BioNLP

• Tara McIntosh and James R. Curran (2007).
  Challenges for extracting biomedical knowledge from full text. In Proceedings of the Workshop on BioNLP 2007 (BioNLP), pages 171–178. [pdf][acl]

COLING

• Johan Bos, Stephen Clark, Mark Steedman, James R. Curran, and Julia Hockenmaier (2004).
  Wide-Coverage Semantic Representations from a CCG Parser. In Proceedings of 20th International Conference on Computational Linguistics (COLING), pages 1240–1246. [pdf][ps][acl]
• Stephen Clark and James R. Curran (2004).
  The Importance of Supertagging for Wide-Coverage CCG Parsing. In Proceedings of 20th International Conference on Computational Linguistics (COLING), pages 282–288. [pdf][ps][acl]

CoNLL

• Stephen Clark, James R. Curran, and Miles Osborne (2003).
  Bootstrapping POS taggers using Unlabelled Data. In Proceedings of the 7th Conference on Natural Language Learning (CoNLL), pages 49–55. [pdf][ps][www][acl]
• James R. Curran and Stephen Clark (2003).
  Language Independent NER using a Maximum Entropy Tagger. In Proceedings of the Seventh Conference on Natural Language Learning (CoNLL), pages 164–167. [pdf][ps][www][acl]
• James R. Curran and Miles Osborne (2002).
  A very very large corpus doesn't always yield reliable estimates. In Proceedings of the 6th Conference on Natural Language Learning (CoNLL), pages 126–131. [pdf][ps][www]

Cognitive

• James Gorman and James R. Curran (2007).
  The Topology of Synonymy and Homonymy Networks. In Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition (Cognitive), pages 73–80. [pdf][acl]

Computational Linguistics

• Stephen Clark and James R. Curran (2007).
  Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models. Computational Linguistics 33(4):493–552. [pdf][ps][www]

DLP

• Stephen Clark and James R. Curran (2007).
  Perceptron Training for a Wide-Coverage Lexicalized-Grammar Parser. In Proceedings of the ACL 2007 Workshop on Deep Linguistic Processing (DLP), pages 9–16. [pdf][ps][acl]
• Matthew Honnibal and James R. Curran (2007).
  Creating a Systemic Functional Grammar Corpus from the Penn Treebank. In Proceedings of the ACL 2007 Workshop on Deep Linguistic Processing (DLP), pages 89–96. [pdf][acl]

EACL

• Vinci Liu and James R. Curran (2006).
  Web Text Corpus for Natural Language Processing. In Proceedings of the 11th Meeting of the European Chapter of the Association for Computational Linguistics (EACL), pages 233–240. [pdf][ps][acl]
• James R. Curran and Stephen Clark (2003).
  Investigating GIS and Smoothing for Maximum Entropy Taggers. In Proceedings of the 10th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pages 91–98. [pdf][ps][acl]

EMNLP

• James Gorman and James R. Curran (2006).
  Random Indexing using Statistical Weight Functions. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 457–464. [pdf][ps][acl]
• Stephen Clark, Mark Steedman, and James R. Curran (2004).
  Object-Extraction and Question-Parsing using CCG. In Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 111–118. [pdf][ps]
• Stephen Clark and James R. Curran (2003).
  Log-Linear Models for Wide-Coverage CCG Parsing. In Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 97–104. [pdf][ps][acl]
• James R. Curran (2002).
  Ensemble Methods for Automatic Thesaurus Extraction. In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 222–229. [pdf][ps][acl]

ITiCSE

• Steven Bird and J.R. Curran (2006).
  Building a Search Engine to Drive Problem-Based Learning. In Proceedings of the 11th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), pages 153–157. [pdf][ps][www]

IWPT

• Bojan Djordjevic, James R. Curran, and Stephen Clark (2007).
  Improving the Efficiency of a Wide-Coverage CCG Parser. In Proceedings of the 10th International Workshop on Parsing Technologies (IWPT), pages 39–47. [pdf][acl]

MNRAS

• Tom Mauch, Tara Murphy, Helen Buttery, James R. Curran, Richard W. Hunstead, Barbara Piestrzynski, Gordon Robertson, and Elaine Sadler (2003).
  SUMSS: A Wide-Field Radio Imaging Survey of the Southern Sky. II. The Source Catalogue. Monthly Notices of the Royal Astronomical Society 342:1117–1130. [www]

NAACL

• Stephen Clark and James R. Curran (2006).
  Partial Training for a Lexicalized-Grammar Parser. In Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), pages 144–151. [pdf][ps][acl]

PACLING

• James R. Curran, Tara Murphy, and Bernhard Scholz (2007).
  Minimising semantic drift with Mutual Exclusion Bootstrapping. In Proceedings of the Conference of the Pacific Association for Computational Linguistics (PACLING), pages 172–180. [pdf][ps][www]
• Matthew Honnibal and James R. Curran (2007).
  Improving the complement/adjunct distinction in CCGBank. In Proceedings of the Conference of the Pacific Association for Computational Linguistics (PACLING), pages 210–217. [pdf][ps][www]
• Tara McIntosh and James R. Curran (2007).
  Sentence retrieval for extracting biomedical knowledge. In Proceedings of the Conference of the Pacific Association for Computational Linguistics (PACLING), pages 342–349. [pdf][www]
• David Vadas and James R. Curran (2007).
  Large-Scale Supervised Models for Noun Phrase Bracketing. In Proceedings of the Conference of the Pacific Association for Computational Linguistics (PACLING), pages 104–112. [pdf][ps][www]

SEALTS

• James R. Curran (2003).
  Blueprint for a High Performance NLP Infrastructure. In Proceedings of the Workshop on Software Engineering and Architecture of Language Technology Systems (SEALTS), pages 40–45. [pdf][ps][acl]

SIGIR

• Phil Blunsom, Krystle Kocik, and James R. Curran (2006).
  Question Classification with Log-Linear Models. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pages 615–616. [pdf][ps][www]

SIGLEX

• James Gorman and James R. Curran (2005).
  Approximate Searching for Distributional Similarity. In Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition (SIGLEX), pages 97–104. [pdf][ps][acl]
• James R. Curran and Marc Moens (2002).
  Improvements in Automatic Thesaurus Extraction. In Proceedings of the Workshop on Unsupervised Lexical Acquisition (SIGLEX), pages 59–66. [pdf][ps][acl]

TREC

• Kisuh Ahn, Johan Bos, James R. Curran, David Kor, Malvina Nissim, and Bonnie Webber (2005).
  Question Answering with QED at TREC-2005. In Proceedings of the 14th Text REtrieval Conference (TREC). [pdf][www]
• Jochen Leidner, Johan Bos, Tiphaine Dalmas, James R. Curran, Stephen Clark, Colin J. Bannard, Mark Steedman, and Bonnie Webber (2005).
  The QED Open-Domain Answer Retrieval System for TREC 2003. In Proceedings of the 12th Text REtrieval Conference (TREC), pages 595–599. [pdf][www]
• Kisuh Ahn, Johan Bos, Stephen Clark, James R. Curran, Tiphaine Dalmas, Jochen L. Leidner, Matthew B. Smillie, and Bonnie Webber (2004).
  Question Answering with QED and Wee at TREC-2004. In Proceedings of the 13th Text REtrieval Conference (TREC), pages 614–621. [pdf][www]

Thesis

• James R. Curran (2004).
  From Distributional to Semantic Similarity.
  PhD thesis, University of Edinburgh. [pdf]
• James R. Curran (1999).
  Transformation-Based Learning in Shallow Natural Language Processing.
  PhD thesis, University of Sydney. [pdf][ps]

WDA

• Konstantinos Stamatakis, Vangelis Karkaletsis, Georgios Paliouras, James Horlock, Claire Grover, James R. Curran, and Shipra Dingare (2003).
  Domain-Specific Web Site Identification: The CROSSMARC Focused Web Crawler. In Proceedings of the 2nd International Workshop on Web Document Analysis (WDA), pages 75–78. [pdf]