DBXplorer: enabling keyword search over relational databases
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Table extraction using conditional random fields
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
XRANK: ranked keyword search over XML documents
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Effective keyword search in relational databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Spark: top-k keyword query in relational databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Keyword search on relational data streams
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Towards keyword-driven analytical processing
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Discover: keyword search in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient IR-style keyword search over relational databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Unsupervised query segmentation using generative language models and wikipedia
Proceedings of the 17th international conference on World Wide Web
Proceedings of the VLDB Endowment
Reasoning and identifying relevant matches for XML keyword search
Proceedings of the VLDB Endowment
Unsupervised query segmentation using click data: preliminary results
Proceedings of the 19th international conference on World wide web
The power of naive query segmentation
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 20th international conference on World wide web
Unsupervised query segmentation using clickthrough for information retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Keyword query cleaning with query logs
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Role-explicit query identification and intent role annotation
Proceedings of the 21st ACM international conference on Information and knowledge management
Beyond clicks: query reformulation as a predictor of search satisfaction
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Efficient parsing-based search over structured data
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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A growing mount of available text data are being stored in relational databases, giving rise to an increasing need for the RDBMSs to support effective text retrieval. In this paper, we address the problem of keyword query segmentation, i.e., how to group nearby keywords in a query into segments. This operation can greatly benefit both the quality and the efficiency of the subsequent search operations. Compared with previous work, the proposed approach is based on Conditional Random Fields (CRF), and provides a principled statistical model that can be learned from query logs and easily adapt to user preferences. Extensive experiments on two real datasets confirm the effectiveness the efficiency of the proposed approach.