A robust combination strategy for semantic role labeling (2005)

by Lluís Màrquez , Mihai Surdeanu , Pere Comas , Jordi Turmo
Venue:Journal of Artificial Intelligence Research
Citations:37 - 11 self

Active Bibliography

11 Discriminative Learning and Spanning Tree Algorithms for Dependency Parsing – Ryan McDonald - 2006
Towards a Machine-Learning Architecture for Lexical . . . – Grzegorz Chrupała - 2008
8 Statistical LTAG Parsing – Libin Shen - 2006
Minimal Supervision . . . BOOTSTRAPPING GLOBAL PATTERNS FROM LOCAL KNOWLEDGE – Michael James Connor - 2011
3 Automatic Factual Question Generation from Text – Michael Heilman, Diane J. Litman
28 Novel Estimation Methods for Unsupervised Discovery of Latent Structure in Natural Language Text – Noah Ashton Smith - 2006
Proceedings of the 9th Conference on Computational Natural Language Learning (CoNLL), – Pages Ann Arbor, Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer, Zhiqiang Wang - 2005
1 Learning semantic parsers using statistical syntactic parsing techniques – Ruifang Ge - 2006
1 Advances in Discriminative Dependency Parsing – Terry Koo, Michael Collins, Terry Koo - 2010
50 The importance of syntactic parsing and inference in semantic role labeling – Vasin Punyakanok, Dan Roth, Wen-tau Yih - 2008
1 Learning for Semantic Parsing Using Statistical Syntactic Parsing Techniques – Ruifang Ge - 2010
2 Using a Hybrid Convolution Tree Kernel for Semantic Role Labeling – Wanxiang Che
reports/55 Spanning Tree Methods for Discriminative Training of Dependency Parsers – Ryan Mcdonald, Koby Crammer, O C. N. Pereira, Ryan Mcdonald, Koby Crammer, Fernando Pereira
4 Spanning Tree Methods for Discriminative Training of Dependency Parsers – Ryan Mcdonald, Koby Crammer, Fernando Pereira
4 Semantic role labeling using a grammar-driven convolution tree kernel. IEEE transactions on audio, speech, and language processing 16(7):1315 – Min Zhang, Wanxiang Che, Guodong Zhou, Aiti Aw, Chew Lim Tan, Senior Member, Ting Liu, Sheng Li - 2008
1 A review of RKHS methods in machine learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
12 Scalable large-margin online learning for structured classification – Koby Crammer, Ryan Mcdonald, Fernando Pereira - 2005
4 BioMed Central – Bmc Bioinformatics, Ling Qin, Yixin Chen, Yi Pan, Ling Chen, Open Access - 2006
A Search in the Forest: Efficient Algorithms for Parsing and Machine Translation based on Packed Forests – Liang Huang