Research Publications for Anthony C (Tony) Smith

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Publications BySMITH, Anthony C (Tony)

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  • Bahiss, K., Cunningham, S. J., & Smith, T. (2010). Investigating the usability of social networking sites for teenagers with autism. In H. Ryu (Ed.), Proc 11th International Conference of the NZ Chapter of the ACM Special Interest Group on Human-Computer Interaction (pp. 5-8). New York, NY: ACM Press. doi:10.1145/1832838.1832840

  • Smith, T. C., & Van De Molen, C. (2010). Unbounded knowledge acquisition based upon mutual information in dependent questions. In J. Li (Ed.), 23rd Australasian Joint Conference on Artificial Intelligence Vol. LNAI 6464, Lecture Notes in Artificial Intelligence (pp. 233-242). Germany: Springer. doi:10.1007/978-3-642-17432-2_24

  • Miles, J., & Smith, T. (2010). Fully-adaptive bots for first-person shooter games. In E. Prakash (Ed.), Proc 3rd Annual International Conference on Computer Games, Multimedia and Allied Technology (pp. 319-324). Singapore: APTF. doi:10.5176/978-981-08-5480-5_077

  • Lin, C. A., & Smith, T. C. (2008). Multi-argument classification for semantic role labeling. In Proc The First International Workshop on Automated Syntactic Annotations for Interoperable Language Resources (pp. 53-60). Conference held at Hong Kong: City University of Hong Kong.

  • Giganto, R., & Smith, T. (2008). Derivation of classes from use cases automatically generated by a three-level sentence processing algorithm. In E. Prasolova-F, 248, rland, & M. Popescu (Eds.), Proc Third International Conference on Systems (ICONS 2008) (pp. 75-80). Conference held at Cancun, Mexico: IEEE Computer Society.

  • Lin, C. A., & Smith, T. C. (2008). Multi-argument classification for semantic role labeling. In Proc The First International Conference on Global Interoperability for Language Resources (ICGL 2008) (pp. 139-146). Conference held at Hong Kong: City University of Hong Kong.

  • Lin, C., & Smith, T. C. (2006). A tree-based algorithm for predicate-argument recognition. Association for Computing Machinery New Zealand Bulletin, 2(1), 1-2. Retrieved from http://oldwww.acm.org/chapters/acm_nz/bulletin/vol2/issue1/

  • Smith, T. C., & Witten, I. H. (2006). Learning language using genetic algorithms. Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing, LNCS 1040, 132-145. doi:10.1007/3-540-60925-3_43

  • Lin, C. A., & Smith, T. C. (2006). Semantic role labeling via instance-based learning. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (pp. 180-188). Conference held at Sydney, Australia: Association for Computational Linguistics.

  • Lin, C., & Smith, A. C. (2005). Semantic role labeling via consensus in pattern-matching. In 9th Conference on Computational Natural Language Learning Vol. Proceedings of the Ninth Conference on Computational Natural Language Learning (pp. 185-188). United States: The Association of Computation Linguistics.

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