Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
A model for processing temporal references in Chinese
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
Applying machine learning to Chinese temporal relation resolution
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Labeling chinese predicates with semantic roles
Computational Linguistics
Multilingual dependency-based syntactic and semantic parsing
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
A transformation-based error-driven learning approach for Chinese temporal information extraction
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
SemEval-2010 task 13: TempEval-2
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
TRIPS and TRIOS system for TempEval-2: Extracting temporal information from text
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
TIPSem (English and Spanish): Evaluating CRFs and semantic roles in TempEval-2
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
HeidelTime: High quality rule-based extraction and normalization of temporal expressions
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Edinburgh-LTG: TempEval-2 system description
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
LTP: a Chinese Language Technology Platform
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Demonstrations
Applying syntactic, semantic and discourse constraints in Chinese temporal annotation
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Automatic time expression labeling for english and chinese text
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
An alternative approach to tagging
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
| Hi-index | 0.00 |
This paper addresses the automatic recognition of temporal expressions and events in Chinese. For this language, these tasks are still in an exploratory stage and high-performance approaches are needed. Recently, in TempEval-2 evaluation exercise, corpora annotated in TimeML were released for different languages including Chinese. However, no systems were evaluated in this language. We present a data-driven approach for addressing these tasks in Chinese, TIRSemZH. This uses semantic roles, in addition to morphosyntactic information, as feature. The performance achieved by TIRSemZH over the TempEval-2 Chinese data (85% F1) is comparable to the state of the art for other languages. Therefore, the method can be used to develop high-performance temporal processing systems, which are currently not available for Chinese. Furthermore, the results obtained verify that when semantic roles are applied, the performance of a baseline based only on morphosyntax is improved. This supports and extends the conclusions reached by related works for other languages.