The effectiveness of document neighboring in search enhancement
Information Processing and Management: an International Journal
TREC and TIPSTER experiments with INQUERY
TREC-2 Proceedings of the second conference on Text retrieval conference
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
Annotation: from paper books to the digital library
DL '97 Proceedings of the second ACM international conference on Digital libraries
A diary study of work-related reading: design implications for digital reading devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
From reading to retrieval: freeform ink annotations as queries
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Viewing Morphology as an Inference Process
Viewing Morphology as an Inference Process
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
A Markov random field model for term dependencies
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Improved automatic keyword extraction given more linguistic knowledge
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Using controlled query generation to evaluate blind relevance feedback algorithms
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Find-similar: similarity browsing as a search tool
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Building simulated queries for known-item topics: an analysis using six european languages
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A new approach on search for similar documents with multiple categories using fuzzy clustering
Expert Systems with Applications: An International Journal
Effective and efficient user interaction for long queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Adapting information retrieval systems to user queries
Information Processing and Management: an International Journal
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Proceedings of the Second ACM International Conference on Web Search and Data Mining
An improved markov random field model for supporting verbose queries
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
A term dependency-based approach for query terms ranking
Proceedings of the 18th ACM conference on Information and knowledge management
Retrieval experiments using pseudo-desktop collections
Proceedings of the 18th ACM conference on Information and knowledge management
Learning concept importance using a weighted dependence model
Proceedings of the third ACM international conference on Web search and data mining
Actively predicting diverse search intent from user browsing behaviors
Proceedings of the 19th international conference on World wide web
Evaluating verbose query processing techniques
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Improving verbose queries using subset distribution
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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People browsing the web or reading a document may see text passages that describe a topic of interest, and want to know more about it by searching. Manually formulating a query from that text can be difficult, however, and an effective search is not guaranteed. In this paper, to address this scenario, we propose a learning-based approach which generates effective queries from the content of an arbitrary user-selected text passage. Specifically, the approach extracts and selects representative chunks (noun phrases or named entities) from the content (a text passage) using a rich set of features. We carry out experiments showing that the selected chunks can be effectively used to generate queries both in a TREC environment, where weights and query structure can be directly incorporated, and with a "black-box" web search engine, where query structure is more limited.