Enhancing QA systems with complex temporal question processing capabilities
Journal of Artificial Intelligence Research
HeidelTime: High quality rule-based extraction and normalization of temporal expressions
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Harvesting facts from textual web sources by constrained label propagation
Proceedings of the 20th ACM international conference on Information and knowledge management
Coupled temporal scoping of relational facts
Proceedings of the fifth ACM international conference on Web search and data mining
A language modeling approach for temporal information needs
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
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The temporal bounding problem is that of finding the beginning and ending times of a temporal interval during which an assertion holds. Existing approaches to temporal bounding have assumed the provision of a reference document from which to extract temporal bounds. We argue that a real-world setting does not include a reference document and that an information retrieval step is often required in order to locate documents containing candidate beginning and end times. We call this task "Information Retrieval for Temporal Bounding". This paper defines the task and discusses suitable evaluation metrics, as well as demonstrating the task's difficulty using a reference dataset.