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| 2011 | ||
|---|---|---|
| 38 | Tara McIntosh, Lars Yencken, James R. Curran, Timothy Baldwin: Relation Guided Bootstrapping of Semantic Lexicons. ACL (Short Papers) 2011: 266-270 | |
| 37 | Ben Hachey, Will Radford, James R. Curran: Graph-Based Named Entity Linking with Wikipedia. WISE 2011: 213-226 | |
| 36 | David Vadas, James R. Curran: Parsing Noun Phrases in the Penn Treebank. Computational Linguistics 37(4): 753-809 (2011) | |
| 2010 | ||
| 35 | Matthew Honnibal, James R. Curran, Johan Bos: Rebanking CCGbank for Improved NP Interpretation. ACL 2010: 207-215 | |
| 34 | Jonathan K. Kummerfeld, Jessika Roesner, Tim Dawborn, James Haggerty, James R. Curran, Stephen Clark: Faster Parsing by Supertagger Adaptation. ACL 2010: 345-355 | |
| 33 | Daniel Tse, James R. Curran: Chinese CCGbank: extracting CCG derivations from the Penn Chinese Treebank. COLING 2010: 1083-1091 | |
| 32 | Yue Zhang, Byung-Gyu Ahn, Stephen Clark, Curt Van Wyk, James R. Curran, Laura Rimell: Chart Pruning for Fast Lexicalised-Grammar Parsing. COLING (Posters) 2010: 1471-1479 | |
| 31 | Matthew Honnibal, Jonathan K. Kummerfeld, James R. Curran: Morphological Analysis Can Improve a CCG Parser for English. COLING (Posters) 2010: 445-453 | |
| 30 | Anna Katrina Dominguez, Kalina Yacef, James R. Curran: Data Mining for Generating Hints in a Python Tutor. EDM 2010: 91-100 | |
| 29 | Anna Katrina Dominguez, Kalina Yacef, James R. Curran: Data Mining to Generate Individualised Feedback. Intelligent Tutoring Systems (2) 2010: 303-305 | |
| 2009 | ||
| 28 | Tara McIntosh, James R. Curran: Reducing Semantic Drift with Bagging and Distributional Similarity. ACL/AFNLP 2009: 396-404 | |
| 27 | Stephen Clark, James R. Curran: Comparing the Accuracy of CCG and Penn Treebank Parsers. ACL/AFNLP (Short Papers) 2009: 53-56 | |
| 26 | Joel Nothman, Tara Murphy, James R. Curran: Analysing Wikipedia and Gold-Standard Corpora for NER Training. EACL 2009: 612-620 | |
| 25 | Matthew Honnibal, James R. Curran: Fully Lexicalising CCGbank with Hat Categories. EMNLP 2009: 1212-1221 | |
| 24 | Maria Milosavljevic, Jean-Yves Delort, Ben Hachey, Bavani Arunasalam, Will Radford, James R. Curran: Automating Financial Surveillance. UCMedia 2009: 305-311 | |
| 23 | Tara McIntosh, James R. Curran: Challenges for automatically extracting molecular interactions from full-text articles. BMC Bioinformatics 10: 311 (2009) | |
| 2008 | ||
| 22 | David Vadas, James R. Curran: Parsing Noun Phrase Structure with CCG. ACL 2008: 335-343 | |
| 2007 | ||
| 21 | David Vadas, James R. Curran: Adding Noun Phrase Structure to the Penn Treebank. ACL 2007 | |
| 20 | Stephen Clark, James R. Curran: Formalism-Independent Parser Evaluation with CCG and DepBank. ACL 2007 | |
| 19 | James R. Curran, Stephen Clark, Johan Bos: Linguistically Motivated Large-Scale NLP with C&C and Boxer. ACL 2007 | |
| 18 | Johan Bos, Edoardo Guzzetti, James R. Curran: The Pronto QA System at TREC 2007: Harvesting Hyponyms, Using Nominalisation Patterns, and Computing Answer Cardinality. TREC 2007 | |
| 17 | Stephen Clark, James R. Curran: Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models. Computational Linguistics 33(4): 493-552 (2007) | |
| 2006 | ||
| 16 | James R. Curran, Stephen Clark, David Vadas: Multi-Tagging for Lexicalized-Grammar Parsing. ACL 2006 | |
| 15 | James Gorman, James R. Curran: Scaling Distributional Similarity to Large Corpora. ACL 2006 | |
| 14 | Vinci Liu, James R. Curran: Web Text Corpus for Natural Language Processing. EACL 2006 | |
| 13 | James Gorman, James R. Curran: Random Indexing using Statistical Weight Functions. EMNLP 2006: 457-464 | |
| 12 | Stephen Clark, James R. Curran: Partial Training for a Lexicalized-Grammar Parser. HLT-NAACL 2006 | |
| 11 | Steven Bird, James R. Curran: Building a search engine to drive problem-based learning. ITiCSE 2006: 153-157 | |
| 10 | Phil Blunsom, Krystle Kocik, James R. Curran: Question classification with log-linear models. SIGIR 2006: 615-616 | |
| 2005 | ||
| 9 | James R. Curran: Supersense Tagging of Unknown Nouns Using Semantic Similarity. ACL 2005 | |
| 8 | Kisuh Ahn, Johan Bos, David Kor, Malvina Nissim, Bonnie L. Webber, James R. Curran: Question Answering with QED at TREC 2005. TREC 2005 | |
| 2004 | ||
| 7 | Stephen Clark, James R. Curran: Parsing the WSJ Using CCG and Log-Linear Models. ACL 2004: 103-110 | |
| 6 | Stephen Clark, Mark Steedman, James R. Curran: Object-Extraction and Question-Parsing using CCG. EMNLP 2004: 111-118 | |
| 5 | Kisuh Ahn, Johan Bos, Stephen Clark, Tiphaine Dalmas, Jochen L. Leidner, Matthew Smillie, Bonnie L. Webber, James R. Curran: Question Answering with QED and Wee at TREC 2004. TREC 2004 | |
| 2003 | ||
| 4 | James R. Curran, Stephen Clark: Investigating GIS and Smoothing for Maximum Entropy Taggers. EACL 2003: 91-98 | |
| 3 | Jochen L. Leidner, Johan Bos, Tiphaine Dalmas, James R. Curran, Stephen Clark, Colin J. Bannard, Bonnie L. Webber, Mark Steedman: QED: The Edinburgh TREC-2003 Question Answering System. TREC 2003: 631-635 | |
| 2002 | ||
| 2 | James R. Curran, Marc Moens: Scaling Context Space. ACL 2002: 231-238 | |
| 2000 | ||
| 1 | James R. Curran, Raymond K. Wong: Formalization of Transformation-Based Learning. ACSC 2000: 51-57 | |
Colors in the list of coauthors
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