Publications

Tools

  • James R. Curran, Stephen Clark, and Johan Bos (2007): Linguistically Motivated Large-Scale NLP with C&C and Boxer. Proceedings of the ACL 2007 Demonstrations Session (ACL-07 demo), pp.29-32. pdf

Parsing

  • Laura Rimell and Stephen Clark: Porting a Lexicalized-Grammar Parser to the Biomedical Domain. Journal of Biomedical Informatics, 2009.
  • Laura Rimell and Stephen Clark: Adapting a Lexicalized-Grammar Parser to Contrasting Domains. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-08), pp.475-484, Honolulu, Hawaii, 2008. pdf
  • Stephen Clark and James R. Curran (2007): Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models. Computational Linguistics, 33(4), 2007. pdf
  • Stephen Clark and James R. Curran (2007): Perceptron Training for a Wide-Coverage Lexicalized-Grammar Parser. Proceedings of the ACL-07 Workshop on Deep Linguistic Processing, pp.9-16, Prague, Czech Republic. pdf
  • Bojan Djordjevic, James R. Curran and Stephen Clark (2007): Improving the Efficiency of a Wide-Coverage CCG Parser. Proceedings of the 10th International Conference on Parsing Technology (IWPT-07), pp.39-47, Prague, Czech Republic. pdf
  • Stephen Clark and James R. Curran (2006): Partial Training for a Lexicalized-Grammar Parser. Proceedings of the Annual Meeting of the North American Association for Computational Linguistics (NAACL-06), pp.144-151, New York pdf
  • Stephen Clark and James R. Curran (2004): Parsing the WSJ using CCG and Log-Linear Models. Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04), pp.104-111, Barcelona, Spain. pdf
  • Stephen Clark, Mark Steedman and James R. Curran: Object-Extraction and Question-Parsing using CCG. Proceedings of the SIGDAT Conference on Empirical Methods in Natural Language Processing (EMNLP-04), pp.111-118, Barcelona, Spain pdf
  • Stephen Clark and James R. Curran: Log-Linear Models for Wide-Coverage CCG Parsing. Proceedings of the SIGDAT Conference on Empirical Methods in Natural Language Processing (EMNLP-03), pp.97-104, Sapporo, Japan pdf
  • Stephen Clark, Julia Hockenmaier and Mark Steedman: Building Deep Dependency Structures with a Wide-Coverage CCG Parser. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL-02), pp.327-334, Philadephia, PA ps

Evaluation

  • Laura Rimell, Stephen Clark and Mark Steedman (2009): Unbounded Dependency Recovery for Parser Evaluation. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-09), Singapore pdf
  • Stephen Clark and James R. Curran (2009): Comparing the Accuracy of CCG and Penn Treebank Parsers. Proceedings of the Short Papers of the Joint conference of the Association for Computational Linguistics and the Asian Federation of Natural Language Processing (ACL-IJCNLP-09), Singapore, 2009 pdf
  • Laura Rimell and Stephen Clark (2008): Constructing a Parser Evaluation Scheme. Proceedings of the COLING workshop on Cross-Framework and Cross-Domain Parser Evaluation, pp.44-50, Manchester, UK, 2008 pdf
  • Stephen Clark and James R. Curran (2007): Formalism-Independent Parser Evaluation with CCG and DepBank?. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-07), pp.248-255, Prague, Czech Republic pdf

Boxing

  • Johan Bos, Stephen Clark, Mark Steedman, James R. Curran and Julia Hockenmaier (2004): Wide-Coverage Semantic Representations from a CCG Parser. Proceedings of the 20th International Conference on Computational Linguistics (COLING-04), pp.1240-1246, Geneva, Switzerland. pdf
  • Johan Bos (2005): Towards Wide-Coverage Semantic Interpretation. Proceedings of the Sixth International Workshop on Computational Semantics (IWCS-6), pp.42-53. pdf
  • Johan Bos and Katja Markert (2006): When logical inference helps determining textual entailment (and when it doesn't). In: Pascal, Proceedings of the Second Challenge Workshop, Recognizing Textual Entailment. pdf
  • Johan Bos & Katja Markert (2005): Recognising Textual Entailment with Logical Inference. Proceedings of EMNLP 2005. pdf

Tagging

  • James R. Curran, Stephen Clark and David Vadas (2007): Multi-Tagging for Lexicalized-Grammar Parsing. Proceedings of the Joint Conference of the International Committee on Computational Linguistics and the Association for Computational Linguistics (COLING/ACL-06), pp.697-704, Sydney, Australia pdf
  • Stephen Clark and James R. Curran (2004): The Importance of Supertagging for Wide-Coverage CCG Parsing. Proceedings of the 20th International Conference on Computational Linguistics (COLING-04), pp.282-288, Geneva, Switzerland. pdf
  • James R. Curran and Stephen Clark (2003): Language Independent NER using a Maximum Entropy Tagger. Proceedings of the Seventh Conference on Natural Language Learning (CoNLL-03), pp.164-167, Edmonton, Canada. pdf
  • James R. Curran and Stephen Clark (2003): Investigating GIS and Smoothing for Maximum Entropy Taggers. Proceedings of the 11th Meeting of the European Chapter of the Association for Computational Linguistics (EACL-03), pp.91-98, Budapest, Hungary. ps
  • Stephen Clark (2002): Supertagging for Combinatory Categorial Grammar. Proceedings of the 6th International Workshop on Tree Adjoining Grammars and Related Frameworks (TAG+6), pp.19-24, Venice, Italy ps

Question Answering (using C&C Tools and Boxer)

  • Johan Bos (2006): The "La Sapienza" Question Answering system at TREC-2006. In Voorhees et al. (eds.): The Fifteenth Text RETrieval Conference, TREC 2006. pdf
  • Johan Bos & Malvina Nissim (2006): Cross-Lingual Question Answering by Answer Translation. In Peters (eds.): Working Notes of CLEF 2006. pdf
  • Kisuh Ahn, Johan Bos, James R. Curran, Dave Kor, Malvina Nissim & Bonnie Webber (2005): Question Answering with QED at TREC-2005. In Voorhees and Buckland (eds.): The Fourteenth Text REtrieval Conference, TREC 2005. pdf

Applications (using C&C Tools and Boxer)

  • Brian Harrington and Stephen Clark (2007): ASKNet: Automated Semantic Knowledge Network, Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI-07), pp.889-894, Vancouver, Canada. pdf