A framework for resolution of time in natural language
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
Robust temporal processing of news
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
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
From Language to Time: A Temporal Expression Anchorer
TIME '06 Proceedings of the Thirteenth International Symposium on Temporal Representation and Reasoning
Understanding temporal expressions in emails
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Local semantics in the interpretation of temporal expressions
ARTE '06 Proceedings of the Workshop on Annotating and Reasoning about Time and Events
USFD2: Annotating temporal expresions and TLINKs for TempEval-2
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
WikiWars: a new corpus for research on temporal expressions
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Contextual recommendation based on text mining
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
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In this paper we present a study on the interpretation of weekday names in texts. Our algorithm for assigning a date to a weekday name achieves 95.91% accuracy on a test data set based on the ACE 2005 Training Corpus, outperforming previously reported techniques run against this same data. We also provide the first detailed comparison of various approaches to the problem using this test data set, employing re-implementations of key techniques from the literature and a range of additional heuristic-based approaches.