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Vocabulary mismatch

Vocabulary mismatch is a common phenomenon in the usage of natural languages, occurring when different people name the same thing or concept… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Citation recommendation systems for the scientific literature, to help authors find papers that should be cited, have the… 
2017
2017
For non-expert users, a textual query is the most popular and simple means for communicating with a retrieval or question… 
2017
2017
Research on how clinicians search shows that they pose queries according to three common clinical tasks: searching for diagnoses… 
Highly Cited
2016
Highly Cited
2016
This paper presents a Graph Inference retrieval model that integrates structured knowledge resources, statistical information… 
2013
2013
Information Retrieval (IR) techniques have gained wide-spread acceptance as a method for automating traceability recovery. These… 
2009
2009
The use of lexical semantic knowledge in information retrieval has been a field of active study for a long time. Collaborative… 
2007
2007
It has been claimed that topic metadata can be used to improve the accuracy of text searches. Here, we test this claim by… 
2006
2006
Object-level coherence in distributed applications and systems has been studied extensively. Object coherence in platform… 
Highly Cited
2004
Highly Cited
2004
In information retrieval, queries can fail to find documents due to mismatch in terminology. Query expansion is a well-known…