activity
20202026
most citedNatural language technology and query expansion: issues, state-of-the-art and perspectives

19 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Document-Level Zero-Shot Relation Extraction with Entity Side Information

Mohan Raj Chanthran, Soon Lay Ki, Ong Huey Fang +1

Document-Level Zero-Shot Relation Extraction (DocZSRE) aims to predict unseen relation labels in text documents without prior training on specific relations. Existing approaches re…

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.CL2020★ 2 cited

Coupled intrinsic and extrinsic human language resource-based query expansion

Bhawani Selvaretnam, Mohammed Belkhatir

Poor information retrieval performance has often been attributed to the query-document vocabulary mismatch problem which is defined as the difficulty for human users to formulate p…

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…