2011 (3 total)

  1. Ben Hachey, Will Radford, Joel Nothman, Matthew Honnibal, and James R. Curran (2011).
    Evaluating Entity Linking with Wikipedia. Artificial Intelligence (submitted). Elsevier.
  2. Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, and James R. Curran (2011).
    Learning multilingual named entity recognition from Wikipedia. Artificial Intelligence (submitted). Elsevier.
  3. David Vadas and James R. Curran (2011).
    Parsing Noun Phrases in the Penn Treebank. Computational Linguistics (to appear). MIT Press.

2010 (12 total)

  1. Stephen Clark and James R. Curran (2010).
    Supertagging for Efficient Wide-Coverage CCG Parsing. In Supertagging: Using Complex Lexical Descriptions in Natural Language Processing, Eds. Srinivas Bangalore and Aravind Joshi, , pages 221–233. MIT Press. [www]
  2. Anna Katrina Dominguez, Kalina Yacef, and James R. Curran (2010).
    Data Mining to Generate Individualised Feedback. In Proceedings of the Tenth International Conference on Intelligent Tutoring Systems (ITS), pages 303–306. [www]
  3. Anna Katrina Dominguez, Kalina Yacef, and James R. Curran (2010).
    Data Mining for Individualised Hints in eLearning. In Proceedings of the Third International Conference on Educational Data Mining (EDM), pages 91–100. [www]
  4. Matthew Honnibal, Jonathan K. Kummerfeld, and James R. Curran (2010).
    Morphological Analysis Can Improve a CCG Parser for English. In Proceedings of the 23rd International Conference on Computational Linguistics: Posters (COLING), pages 445–453. [acl]
  5. Matthew Honnibal, James R. Curran, and Johan Bos (2010).
    Rebanking CCGbank for Improved NP Interpretation. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), pages 207–215. [acl]
  6. Jonathan K. Kummerfeld, Jessika Roesner, Tim Dawborn, James Haggerty, James R. Curran, and Stephen Clark (2010).
    Faster Parsing by Supertagger Adaptation. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), pages 345–355. [acl]
  7. Dominick Ng, Matthew Honnibal, and James R. Curran (2010).
    Reranking a wide-coverage CCG parser. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 90–98. [www][acl]
  8. Dominick Ng, James W.D. Constable, Matthew Honnibal, and James R. Curran (2010).
    SCHWA: PETE Using CCG Dependencies with the C&C Parser. In Proceedings of the 5th International Workshop on Semantic Evaluation (SemEval), pages 313–316. [acl]
  9. Will Radford, Ben Hachey, James R. Curran, and Maria Milosavljevic (2010).
    Tracking Information Flow between Primary and Secondary News Sources. In Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media (SocMed), pages 29–30. [acl]
  10. Will Radford, Ben Hachey, Joel Nothman, Matthew Honnibal, and James R. Curran (2010).
    Document-level Entity Linking: CMCRC at TAC 2010. In Proceedings of the Text Analysis Conference (TAC). [www]
  11. Daniel Tse and James R. Curran (2010).
    Chinese CCGbank: extracting CCG derivations from the Penn Chinese Treebank. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING), pages 1083–1091. [acl]
  12. Yue Zhang, Byung-Gyu Ahn, Stephen Clark, Curt Van Wyk, James R. Curran, and Laura Rimell (2010).
    Chart Pruning for Fast Lexicalised-Grammar Parsing. In Proceedings of the 23rd International Conference on Computational Linguistics: Posters (COLING), pages 1471–1479. [acl]

2009 (15 total)

  1. Dominic Balasuriya, Nicky Ringland, Joel Nothman, Tara Murphy, and James R. Curran (2009).
    Named Entity Recognition in Wikipedia. In Proceedings of the Workshop on the People's Web Meets NLP: Collaboratively Constructed Semantic Resources (PeoplesWeb), pages 10–18. [www]
  2. Christopher Chua, Maria Milosavljevic, and James R. Curran (2009).
    A Sentiment Detection Engine for Internet Stock Message Boards. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 89–93. [www][acl]
  3. Stephen Clark and James R. Curran (2009).
    Comparing the Accuracy of CCG and Penn Treebank Parsers. In Proceedings of the ACL-IJCNLP 2009 Conference (Short Papers) (ACL), pages 53–56. [acl]
  4. James W. D. Constable and James R. Curran (2009).
    Integrating Verb-Particle Constructions into CCG Parsing. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 114–118. [www][acl]
  5. Tim Dawborn and James R. Curran (2009).
    CCG parsing with one syntactic structure per n-gram. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 71–79. [www][acl]
  6. Matthew Honnibal, Joel Nothman, and James R. Curran (2009).
    Evaluating a Statistical CCG Parser on Wikipedia. In Proceedings of the Workshop on the People's Web Meets NLP: Collaboratively Constructed Semantic Resources (PeoplesWeb). [www]
  7. Matthew Honnibal and James R. Curran (2009).
    Fully Lexicalising CCGbank with Hat Categories. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1212–1221. [acl]
  8. Jonathan K. Kummerfeld, Jessika Roesner, and James R. Curran (2009).
    Faster parsing and supertagging model estimation. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 62–70. [www][acl]
  9. Tara McIntosh and James R. Curran (2009).
    Reducing Semantic Drift with Bagging and Distributional Similarity. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL), pages 396–404. [acl]
  10. Tara McIntosh and James R. Curran (2009).
    Challenges for automatically extracting molecular interactions from full-text articles. BMC Bioinformatics 10:311. BioMed Central. [www]
  11. Stephen Merity, Tara Murphy, and James R. Curran (2009).
    Accurate Argumentative Zoning with Maximum Entropy models. In Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries, pages 19–26. [acl]
  12. Joel Nothman, Tara Murphy, and James R. Curran (2009).
    Analysing Wikipedia and Gold Standard Corpora for NER Training. In Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL). [acl]
  13. Will Radford, Ben Hachey, James R. Curran, and Maria Milosavljevic (2009).
    Tracking Information Flow in Financial Text. In Proceedings of the Australasian Language Technology Association Workshop 2009 (ALTW), pages 11–19. [www][acl]
  14. Nicky Ringland, Joel Nothman, Tara Murphy, and James R. Curran (2009).
    Classifying articles in English and German Wikipedia. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 20–28. [www][acl]
  15. Sam Tardif, James R. Curran, and Tara Murphy (2009).
    Improved Text Categorisation for Wikipedia Named Entities. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 104–108. [www][acl]

2008 (8 total)

  1. Katie Bell and James R. Curran (2008).
    Answer Attenuation in Question Answering. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 2–10. [www][acl]
  2. Susan Howlett and James R. Curran (2008).
    Automatic Acquisition of Training Data for Statistical Parsers. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 37–45. [www][acl]
  3. Jonathan K. Kummerfeld and James R. Curran (2008).
    Classification of Verb Particle Constructions with the Google Web1T Corpus. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 55–63. [www][acl]
  4. Tara McIntosh and James R. Curran (2008).
    Weighted Mutual Exclusion Bootstrapping for Domain Independent Lexicon and Template Acquisition. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 97–105. [www][acl]
  5. Dominick Ng, David J. Kedziora, Terry T. W. Miu, and James R. Curran (2008).
    Investigating Features for Classifying Noun Relations. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 106–114. [www][acl]
  6. Joel Nothman, James R. Curran, and Tara Murphy (2008).
    Transforming Wikipedia into Named Entity Training Data. In Proceedings of the Australasian Language Technology Workshop. [www][acl]
  7. Daniel Tse and James R. Curran (2008).
    Punctuation Normalisation for Cleaner Treebanks and Parsers. In Proceedings of the Australasian Language Technology Association Workshop (ALTW), pages 151–159. [www][acl]
  8. David Vadas and James R. Curran (2008).
    Parsing Noun Phrase Structure with CCG. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL), pages 335–343. [acl]

2007 (17 total)

  1. Stephen Clark and James R. Curran (2007).
    Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models. Computational Linguistics 33(4):493–552. MIT Press. [pdf][ps][www][acl]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. 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]
  10. 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][acl]
  11. 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]
  12. 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]
  13. 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][acl]
  14. 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][acl]
  15. 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]
  16. 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][acl]
  17. 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]

2006 (9 total)

  1. Steven Bird and James 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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][acl]
  6. 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]
  7. 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]
  8. 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]
  9. Tara Murphy, Tara McIntosh, and James R. Curran (2006).
    Named Entity Recognition for Astronomy Literature. In Proceedings of the Australasian Language Technology Workshop (ALTW), pages 59–66. [pdf][ps][www][acl]

2005 (9 total)

  1. 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]
  2. 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]
  3. 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]
  4. 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][acl]
  5. 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][acl]
  6. 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]
  7. 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][acl]
  8. 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][acl]
  9. 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][acl]

2004 (6 total)

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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][acl]
  6. James R. Curran (2004).
    From Distributional to Semantic Similarity.
    PhD thesis, University of Edinburgh. [pdf]

2003 (7 total)

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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. Wiley. [www]
  7. 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]

2002 (4 total)

  1. 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]
  2. 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]
  3. 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]
  4. 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]

2000 (1 total)

  1. 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]

1999 (4 total)

  1. 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]
  2. 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 symposium), pages 75–79 AAAI Technical Report FS-99-04. [pdf][ps]
  3. James R. Curran (1999).
    Transformation-Based Learning in Shallow Natural Language Processing.
    Honours thesis, University of Sydney. [pdf][ps]
  4. 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]