Seong-Bae Park

Biointelligence Lab (BI)
School of Computer Sci. and Eng.
Seoul National University
Seoul 151-742, Korea

Office: 301-419
Phone: +82-2-880-1847
Fax: +82-2-875-2240
E-mail: sbpark@bi.snu.ac.kr
Personal home page: http://bi.snu.ac.kr/~sbpark
Research interests: natural language learning, learning from unlabeled data, decision trees, Korean information processing

Publications:
  • S.-B. Park and Y.-T. Kim, "Computational Approach to Tree Selection," In Proceedings of KISS Fall Conference, pp. 601-604, 1995.
  • S.-B. Park and Y.-T. Kim, "Semantic Role Determination in Korean Relative Clauses Using Idiomatic Patterns," In Proceedings of ICCPOL '97, pp. 1-6, 1997.
  • S.-B. Park and Y.-T. Kim, "Semantic Role Determination of Korean Adverbial Postpositions," In Proceedings of KISS Spring Conference, pp. 399-401, 1998.
  • S.-B. Park, B.-T. Zhang and Y.-T. Kim, "Korean Verb Clustering Using Self-Organization Maps," In Proceedings of KISS Fall Conference, pp. 183-185, 1998.
  • S.-B. Park, B.-T. Zhang and Y.-T. Kim, "Word Sense Disambiguation From Unlabeled Data," In Proceedings of KISS Spring Conference, pp. 330-332, 2000.
  • S.-B. Park, B.-T. Zhang and Y.-T. Kim, "Decision Tree Based Disambiguation of Semantic Roles for Korean Adverbial Postpositions in Korean-English Machine Translation," Journal of KISS, Vol. 27, No. 6, pp. 668-677, 2000.
  • S.-B. Park, B.-T. Zhang and Y.-T. Kim, "Word Sense Disambiguation by Learning from Unlabeled Data," In Proceedings of 38th Annual Meeting of the Association for Computational Linguistics, pp 547-554, 2000.
  • Y.-S. Kim, S.-D. Kim, S.-B. Park, J.-W. Lee, J.-H. Chang, K.-B. Hwang, J.-M. O and Y.-T. Kim, "Machine Translation Systems: E-K, K-E, J-K, K-J," In Proceedings of AMTA 2000, 2000.
  • S.-B. Park, B.-T. Zhang and Y.-T. Kim, "Expanded Korean Chunking by k-NN," In Proceedings of KISS Fall Conference, pp. 182-184, 2000.
  • S.-B. Park and B.-T. Zhang, "A Boosted Maximum Entropy Model for Learning Text Chunking," In Proceedings of the 19th International Conference on Machine Learning, pp. 482-489, 2002.