Concept-Based Information Retrieval Using Explicit Semantic Analysis

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Semantic Matching in Search (2014, background): “Another approach is to enrich query and document representations with human knowledge such as Wikipedia and conduct semantic matching with the representations [65].”
Document Retrieval Model Through Semantic Linking (2017, methodology): “Both [31] and [8] use ESA representation of concepts for the purpose of concept ranking and retrieval.”
Entity based Q&A Retrieval (2012, background): “…ours, in some cases complementary and can be leveraged to get an even better performance There also exists work where exploiting entity based representation has been found helpful in information retrieval (Singh et al., 2009; Egozi et al., 2011; Meij et al., 2008; Grootjen and van der Weide, 2006).”
Query Expansion Techniques for Information Retrieval: a Survey (2017, unknown): “, [242,285,61,161,91,227,71,55]).”
A location-based news article recommendation with explicit localized semantic analysis (2013, background): “Egozi et. al [5] projected articles onto a topic space constructed with Explicit Semantic Analysis (ESA) [7].”
Document Retrieval Using Entity-Based Language Models (2016, background): “Also, in contrast to previously proposed representations [21, 16, 42, 47, 3, 41, 14], our language models account simultaneously for the uncertainty in the entity-markup process, and the balance between using term-based and entity-based information.”