Towards a general theory of action and time
Artificial Intelligence
Introduction to the special issue on temporal information processing
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on Temporal Information Processing
Automatic TIMEX2 tagging of Korean news
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on Temporal Information Processing
An ontology of time for the semantic web
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on Temporal Information Processing
Robust temporal processing of news
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
A model for processing temporal references in Chinese
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
From temporal expressions to temporal information: semantic tagging of news messages
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
Assigning time-stamps to event-clauses
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
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
Automatic temporal expression normalization with reference time dynamic-choosing
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
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Temporal information is useful in many NLP applications, such as information extraction, question answering and summarization. In this paper, we present a temporal parser for extracting and normalizing temporal expressions from Chinese texts. An integrated temporal framework is proposed, which includes basic temporal concepts and the classification of temporal expressions. The identification of temporal expressions is fulfilled by powerful chart-parsing based on grammar rules and constraint rules. We evaluated the system on a substantial corpus and obtained promising results.