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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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Related topics

Related topics

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Computer scienceDocument retrievalGoogle SearchHuman–computer information retrieval

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
The Escape from Balance Sheet Recession and the QE Trap : A Hazardous Road for the World Economy , Singapore ( 320 pages , hardcover , Wiley , ISBN 978-1119-02812-3 )
  • 2016
  • Corpus ID: 145043082
Richard Koo, the chief economist at a leading securities house, became a widely known author with the publication of his 2008… 
2014
2014
Document-level translation quality estimation: exploring discourse and pseudo-references
Predicting the quality of machine translations is a challenging topic. Quality estimation (QE) of translations is based on… 
Highly Cited
2011
Highly Cited
2011
Automatic Enrichment of Semantic Relation Network and Its Application to Word Sense Disambiguation
The most fundamental step in semantic information processing (SIP) is to construct knowledge base (KB) at the human level; that… 
2009
2009
LDSR: Materialized Reason-able View to the Web of Linked Data
LDSR is a collection of datasets from the Linked Open Data (LOD) W3C community project, which have been selected and refined for… 
Highly Cited
2006
Highly Cited
2006
Question Answering with LCC's CHAUCER at TREC 2006
C HAUCER is a Q/A system developed for (a) combining several strategies for modeling the target of a series of questions and (b… 
2006
2006
Using Domain Ontologies for Efficient Information Retrieval
Being the conceptual models that capture domain knowledge, ontologies can be looked upon for aiding meaningful information… 
2005
2005
An information retrieval application using ontologies
Searching for information in long videos can be a time-consuming experience. In this paper, we describe OnAIR, an ontology-aided… 
2004
2004
Extending and Enriching WordNet with OntoLearn
OntoLearn is a system for word sense disambiguation, used to automat- ically enrich WordNet with domain concepts and to… 
Highly Cited
2004
Highly Cited
2004
TRECVID 2004 Experiments in Dublin City University
In this paper, we describe our experiments for TRECVID 2004 for the Search task. In the interactive search task, we developed two… 
2004
2004
Question Answering using Sentence Parsing and Semantic Network Matching
The paper describes a question answering system for German called InSicht. All documents in the system are analyzed by a… 
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