Semantic Role Labeling by Tagging Syntactic Chunks

作者: Daniel Jurafsky , James H. Martin , Sameer Pradhan , Kadri Hacioglu , Wayne H. Ward

DOI:

关键词: Natural language processingComputer scienceArtificial intelligenceLinguisticsSemantic role labeling

摘要:

参考文章(7)
L. A. Ramshaw, M. P. Marcus, Text Chunking Using Transformation-Based Learning meeting of the association for computational linguistics. pp. 157- 176 ,(1999) , 10.1007/978-94-017-2390-9_10
Erik F. Tjong Kim Sang, Jorn Veenstra, Representing text chunks Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics -. pp. 173- 179 ,(1999) , 10.3115/977035.977059
Sameer Pradhan, Kadri Hacioglu, Valerie Krugler, Wayne Ward, James H. Martin, Daniel Jurafsky, Support Vector Learning for Semantic Argument Classification Machine Learning. ,vol. 60, pp. 11- 39 ,(2005) , 10.1007/S10994-005-0912-2
Christopher J.C. Burges, A Tutorial on Support Vector Machines for Pattern Recognition Data Mining and Knowledge Discovery. ,vol. 2, pp. 121- 167 ,(1998) , 10.1023/A:1009715923555
Sameer Pradhan, K. Hacioglu, W. Ward, J.H. Martin, D. Jurafsky, Semantic role parsing: adding semantic structure to unstructured text international conference on data mining. pp. 629- 632 ,(2003) , 10.1109/ICDM.2003.1250994
Daniel Jurafsky, James H. Martin, Sameer S. Pradhan, Kadri Hacioglu, Wayne H. Ward, Shallow Semantic Parsing using Support Vector Machines. north american chapter of the association for computational linguistics. pp. 233- 240 ,(2004)