Combining association measures for collocation extraction
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Improving search relevance for implicitly temporal queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Universal Mobile Information Retrieval
UAHCI '09 Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments
Topic segmentation algorithms for text summarization and passage retrieval: an exhaustive evaluation
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
New experiments in distributional representations of synonymy
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Enhancing document snippets using temporal information
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
ChronoSeeker: search engine for future and past events
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
A language modeling approach for temporal information needs
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Identification of top relevant temporal expressions in documents
Proceedings of the 2nd Temporal Web Analytics Workshop
Proceedings of the 2nd Temporal Web Analytics Workshop
SPIRE'12 Proceedings of the 19th international conference on String Processing and Information Retrieval
Disambiguating Implicit Temporal Queries by Clustering Top Relevant Dates in Web Snippets
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Estimating document focus time
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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In this paper, we present an approach to identify top relevant dates in Web snippets with respect to a given implicit temporal query. Our approach is two-fold. First, we propose a generic temporal similarity measure called GTE, which evaluates the temporal similarity between a query and a date. Second, we propose a classification model to accurately relate relevant dates to their corresponding query terms and withdraw irrelevant ones. We suggest two different solutions: a threshold-based classification strategy and a supervised classifier based on a combination of multiple similarity measures. We evaluate both strategies over a set of real-world text queries and compare the performance of our Web snippet approach with a query log approach over the same set of queries. Experiments show that determining the most relevant dates of any given implicit temporal query can be improved with GTE combined with the second order similarity measure InfoSimba, the Dice coefficient and the threshold-based strategy compared to (1) first-order similarity measures and (2) the query log based approach.