Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Learning and Inference for Clause Identification
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Filtering-Ranking Perceptron Learning for Partial Parsing
Machine Learning
Large Margin Methods for Structured and Interdependent Output Variables
The Journal of Machine Learning Research
Boosting trees for clause splitting
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Introduction to the CoNLL-2001 shared task: clause identification
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Clause identification with long short-term memory
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Memory-based clause identification
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Cutting-plane training of structural SVMs
Machine Learning
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Chinese event descriptive clause splitting is a novel task in Chinese information processing. Different from English clause splitting problem, Chinese event descriptive clause splitting aims at recognizing the high-level clauses. In this paper, we present a Chinese clause splitting system with a discriminative approach. By formulating the Chinese clause splitting task as a sequence labeling problem, we apply the structured SVMs model to Chinese clause splitting. Compared with other two baseline systems, our approach gives much better performance.