A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Time frames: temporal augmentation of the news
IBM Systems Journal
WWW '05 Proceedings of the 14th international conference on World Wide Web
Temporal document retrieval model for business news archives
Information Processing and Management: an International Journal - Special issue: Cross-language information retrieval
Automating temporal annotation with TARSQI
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
ACM Transactions on Information Systems (TOIS)
On the value of temporal information in information retrieval
ACM SIGIR Forum
Introduction to Information Retrieval
Introduction to Information Retrieval
Improving Temporal Language Models for Determining Time of Non-timestamped Documents
ECDL '08 Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries
Answering general time sensitive queries
Proceedings of the 17th ACM conference on Information and knowledge management
Crowdsourcing for relevance evaluation
ACM SIGIR Forum
Improving search relevance for implicitly temporal queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Use of temporal expressions in web search
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
From information to knowledge: harvesting entities and relationships from web sources
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Determining time of queries for re-ranking search results
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Time-Surfer: time-based graphical access to document content
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Learning to rank for freshness and relevance
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Ranking related news predictions
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Time-based query performance predictors
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A comparison of time-aware ranking methods
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Using k-Top retrieved web snippets to date temporalimplicit queries based on web content analysis
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Harvesting facts from textual web sources by constrained label propagation
Proceedings of the 20th ACM international conference on Information and knowledge management
On relevance, time and query expansion
Proceedings of the 20th ACM international conference on Information and knowledge management
Recent developments in information retrieval
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
Time-sensitive query auto-completion
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Learning to select a time-aware retrieval model
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
On the use of semantic knowledge bases for temporally-aware entity retrieval
Proceedings of the fifth workshop on Exploiting semantic annotations in information retrieval
Proceedings of the 21st ACM international conference on Information and knowledge management
Learning to rank search results for time-sensitive queries
Proceedings of the 21st ACM international conference on Information and knowledge management
TASE: a time-aware search engine
Proceedings of the 21st ACM international conference on Information and knowledge management
YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia
Artificial Intelligence
Modeling geographic, temporal, and proximity contexts for improving geotemporal search
Journal of the American Society for Information Science and Technology
A survey of temporal web search experience
Proceedings of the 22nd international conference on World Wide Web companion
Information Retrieval for Temporal Bounding
Proceedings of the 2013 Conference on the Theory of Information Retrieval
The Impacts of Structural Difference and Temporality of Tweets on Retrieval Effectiveness
ACM Transactions on Information Systems (TOIS)
Proximity2-aware ranking for textual, temporal, and geographic queries
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Estimating document focus time
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Exploiting temporal information in Web search
Expert Systems with Applications: An International Journal
Using temporal bursts for query modeling
Information Retrieval
Hi-index | 0.00 |
This work addresses information needs that have a temporal dimension conveyed by a temporal expression in the user’s query. Temporal expressions such as “in the 1990s” are frequent, easily extractable, but not leveraged by existing retrieval models. One challenge when dealing with them is their inherent uncertainty. It is often unclear which exact time interval a temporal expression refers to. We integrate temporal expressions into a language modeling approach, thus making them first-class citizens of the retrieval model and considering their inherent uncertainty. Experiments on the New York Times Annotated Corpus using Amazon Mechanical Turk to collect queries and obtain relevance assessments demonstrate that our approach yields substantial improvements in retrieval effectiveness.