19 citations · 33 across the 7 of their papers we have counts for
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cs.IR2020★ 11 cited
A Linguistically Driven Framework for Query Expansion via Grammatical Constituent Highlighting and Role-Based Concept Weighting
Bhawani Selvaretnam, Mohammed Belkhatir
In this paper, we propose a linguistically-motivated query expansion framework that recognizes and en-codes significant query constituents that characterize query intent in order t…
cs.IR2020★ 19 cited
Natural language technology and query expansion: issues, state-of-the-art and perspectives
Bhawani Selvaretnam, Mohammed Belkhatir
The availability of an abundance of knowledge sources has spurred a large amount of effort in the development and enhancement of Information Retrieval techniques. Users information…
cs.IR2020
Leveraging Cognitive Search Patterns to Enhance Automated Natural Language Retrieval Performance
Bhawani Selvaretnam, Mohammed Belkhatir
The search of information in large text repositories has been plagued by the so-called document-query vocabulary gap, i.e. the semantic discordance between the contents in the stor…