Young-Sook Hwang

发表

Two-Phase Biomedical NE Recognition based on SVMs

Hae-Chang Rim, Young-Sook Hwang, Ki-Joong Lee, 2003, BioNLP@ACL.

Using Machine Translation Evaluation Techniques to Determine Sentence-level Semantic Equivalence

Eiichiro Sumita, Andrew M. Finch, Young-Sook Hwang, 2005, IJCNLP.

Weighted Probabilistic Sum Model Based on Decision Tree Decomposition for Text Chunking

Hae-Chang Rim, Young-Sook Hwang, Hoo-Jung Chung, 2003, Int. J. Comput. Process. Orient. Lang..

Weighted Probabilisti Sum Model based on De ision Tree De omposition for Text Chunking

Young-Sook Hwang, Hoo-Jung Chung, 2001 .

Shallow Parsing By Weighted Probabilistic Sum

Hae-Chang Rim, Young-Sook Hwang, Hoo-Jung Chung, 2001 .

Unsupervised Event Extraction from Biomedical Literature Using Co-occurrence Information and Basic Patterns

Hae-Chang Rim, Hong-Woo Chun, Young-Sook Hwang, 2004, IJCNLP.

Biomedical named entity recognition using two-phase model based on SVMs

Hae-Chang Rim, Seonho Kim, Young-Sook Hwang, 2004, J. Biomed. Informatics.

ME-based biomedical named entity recognition using lexical knowledge

Hae-Chang Rim, Seonho Kim, Young-Sook Hwang, 2006, TALIP.

Decision tree decomposition-based complex feature selection for text chunking

Hae-Chang Rim, Young-Sook Hwang, Hae-Chang Rim, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

An Empirical Study of Feature Set Selection for Text Chunking

Hae-Chang Rim, So-Young Park, Yong-Jae Kwak, 2001, NLPRS.

Nobody is perfect: ATR’s hybrid approach to spoken language translation

Eiichiro Sumita, Michael Paul, Takao Doi, 2005, IWSLT.

Joint Tokenization and Translation

Yang Liu, Xinyan Xiao, Qun Liu, 2010, COLING.

Using Lexical Dependency and Ontological Knowledge to Improve a Detailed Syntactic and Semantic Tagger of English

Eiichiro Sumita, Andrew M. Finch, Young-Sook Hwang, 2006, ACL.