SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A comparison of collocation-based similarity measures in query expansion
Information Processing and Management: an International Journal
Foundations of statistical natural language processing
Foundations of statistical natural language processing
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Combining multiple evidence from different types of thesaurus for query expansion
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Improving the effectiveness of information retrieval with local context analysis
ACM Transactions on Information Systems (TOIS)
Extracting query modifications from nonlinear SVMs
Proceedings of the 11th international conference on World Wide Web
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Query Expansion with Long-Span Collocates
Information Retrieval
Query Expansion by Mining User Logs
IEEE Transactions on Knowledge and Data Engineering
Building Text Classifiers Using Positive and Unlabeled Examples
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Domain-Specific Web Search with Keyword Spices
IEEE Transactions on Knowledge and Data Engineering
Query expansion using associated queries
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Knowledge-based query expansion to support scenario-specific retrieval of medical free text
Proceedings of the 2005 ACM symposium on Applied computing
Methods for the qualitative evaluation of lexical association measures
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Query expansion using term relationships in language models for information retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Concept-based interactive query expansion
Proceedings of the 14th ACM international conference on Information and knowledge management
Collocation extraction based on modifiability statistics
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A review of ontology based query expansion
Information Processing and Management: an International Journal
Combining association measures for collocation extraction
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Semisupervised Query Expansion with Minimal Feedback
IEEE Transactions on Knowledge and Data Engineering
Mining term association patterns from search logs for effective query reformulation
Proceedings of the 17th ACM conference on Information and knowledge management
Search Engines: Information Retrieval in Practice
Search Engines: Information Retrieval in Practice
Proposing a new term weighting scheme for text categorization
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
An analysis of queries intended to search information for children
Proceedings of the third symposium on Information interaction in context
Managing misspelled queries in IR applications
Information Processing and Management: an International Journal
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Given a drug under development, what are other drugs or biochemical compounds that it might interact with? Early answers to this question, by mining the literature, are valuable for pharmaceutical companies, both monetarily and in avoiding public relations nightmares. Inferring drug-drug interactions is also important in designing combination therapies for complex diseases including cancers. We study this problem as one of mining linguistic cues for query expansion. By using (only) positive instances of drug interactions, we show how we can extract linguistic cues which can then be used to expand and reformulate queries to improve the effectiveness of drug interaction search. Our approach integrates many learning paradigms: partially supervised classification, association measures for collocation mining, and feature selection in supervised learning. We demonstrate compelling results on using positive examples from the DrugBank database to seed MEDLINE searches for drug interactions. In particular, we show that purely data-driven linguistic cues can be effectively mined and applied to realize a successful domain-specific query expansion framework.