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Query expansion

Known as: Automatic query reformulation, QE 
Query expansion (QE) is the process of reformulating a seed query to improve retrieval performance in information retrieval operations.In the context… 
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Papers overview

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Highly Cited
2016
Highly Cited
2016
Continuous space word embeddings have received a great deal of attention in the natural language processing and machine learning… 
Highly Cited
2016
Highly Cited
2016
We present a suite of query expansion methods that are based on word embeddings. Using Word2Vec's CBOW embedding approach… 
Highly Cited
2015
Highly Cited
2015
Source code search plays an important role in software maintenance. The effectiveness of source code search not only relies on… 
Highly Cited
2014
Highly Cited
2014
Recent advances in automatic entity linking and knowledge base construction have resulted in entity annotations for document and… 
Highly Cited
2009
Highly Cited
2009
This paper presents a new content-based retrieval framework applied to logo retrieval in large natural image collections. The… 
Highly Cited
2007
Highly Cited
2007
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We… 
Highly Cited
2007
Highly Cited
2007
We present an approach to query expansion in answer retrieval that uses Statistical Machine Translation (SMT) techniques to… 
Highly Cited
2006
Highly Cited
2006
We introduce the notion of query substitution, that is, generating a new query to replace a user's original search query. Our… 
Highly Cited
1998
Highly Cited
1998
Most casual users of IR systems type short queries. Recent research has shown that adding new words to these queries via odhoc… 
Highly Cited
1993
Highly Cited
1993
Query expansion methods have been studied for a long time - with debatable success in many instances. In this paper we present a…