Dependence language model for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Linear discriminant model for information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A Markov random field model for term dependencies
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Unsupervised query segmentation using generative language models and wikipedia
Proceedings of the 17th international conference on World Wide Web
Investigation of partial query proximity in web search
Proceedings of the 17th international conference on World Wide Web
A unified and discriminative model for query refinement
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Boosting web retrieval through query operations
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Learning concept importance using a weighted dependence model
Proceedings of the third ACM international conference on Web search and data mining
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
The power of naive query segmentation
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Modeling reformulation using passage analysis
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Proceedings of the 20th international conference on World wide web
Key concepts identification and weighting in search engine queries
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
Joint annotation of search queries
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Upper-bound approximations for dynamic pruning
ACM Transactions on Information Systems (TOIS)
Natural language technology and query expansion: issues, state-of-the-art and perspectives
Journal of Intelligent Information Systems
An IR-based evaluation framework for web search query segmentation
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Extending BM25 with multiple query operators
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Towards optimum query segmentation: in doubt without
Proceedings of the 21st ACM international conference on Information and knowledge management
Modeling reformulation using query distributions
ACM Transactions on Information Systems (TOIS)
Learning joint query interpretation and response ranking
Proceedings of the 22nd international conference on World Wide Web
On segmentation of eCommerce queries
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
| Hi-index | 0.00 |
Modeling term dependence has been shown to have a significant positive impact on retrieval. Current models, however, use sequential term dependencies, leading to an increased query latency, especially for long queries. In this paper, we examine two query segmentation models that reduce the number of dependencies. We find that two-stage segmentation based on both query syntactic structure and external information sources such as query logs, attains retrieval performance comparable to the sequential dependence model, while achieving a 50% reduction in query latency.