Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Query word deletion prediction
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Natural language processing for information retrieval: the time is ripe (again)
Proceedings of the ACM first Ph.D. workshop in CIKM
Weakly-supervised discovery of named entities using web search queries
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Personal name classification in web queries
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Unsupervised query segmentation using generative language models and wikipedia
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
Analyzing web text association to disambiguate abbreviation in queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A global joint model for semantic role labeling
Computational Linguistics
Analysis of long queries in a large scale search log
Proceedings of the 2009 workshop on Web Search Click Data
Named entity recognition in query
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Reducing long queries using query quality predictors
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Two-stage query segmentation for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
The linguistic structure of English web-search queries
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Syntactic Query Models for Restatement Retrieval
SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
Joint parsing and named entity recognition
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Semantic tagging of web search queries
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Improving web search relevance with semantic features
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
The power of naive query segmentation
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Understanding the semantic structure of noun phrase queries
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Structural annotation of search queries using pseudo-relevance feedback
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Proceedings of the 20th international conference on World wide web
Detecting candidate named entities in search queries
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
Extraction and evaluation of candidate named entities in search engine queries
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
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Marking up search queries with linguistic annotations such as part-of-speech tags, capitalization, and segmentation, is an important part of query processing and understanding in information retrieval systems. Due to their brevity and idiosyncratic structure, search queries pose a challenge to existing NLP tools. To address this challenge, we propose a probabilistic approach for performing joint query annotation. First, we derive a robust set of unsupervised independent annotations, using queries and pseudo-relevance feedback. Then, we stack additional classifiers on the independent annotations, and exploit the dependencies between them to further improve the accuracy, even with a very limited amount of available training data. We evaluate our method using a range of queries extracted from a web search log. Experimental results verify the effectiveness of our approach for both short keyword queries, and verbose natural language queries.