Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
The Journal of Machine Learning Research
Integrating word relationships into language models
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
LDA-based document models for ad-hoc retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Modeling term associations for ad-hoc retrieval performance within language modeling framework
ECIR'07 Proceedings of the 29th European conference on IR research
Analysis of long queries in a large scale search log
Proceedings of the 2009 workshop on Web Search Click Data
Query reformulation using anchor text
Proceedings of the third ACM international conference on Web search and data mining
From frequency to meaning: vector space models of semantics
Journal of Artificial Intelligence Research
Structural annotation of search queries using pseudo-relevance feedback
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Joint annotation of search queries
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Using query log and social tagging to refine queries based on latent topics
Proceedings of the 20th ACM international conference on Information and knowledge management
| Hi-index | 0.00 |
We introduce a statistical model for abbreviation disambiguation in Web search, based on analysis of Web data resources, including anchor text, click log and query log. By combining evidence from multiple sources, we are able to accurately disambiguate the abbreviation in queries. Experiments on real Web search queries show promising results.