19 citations · 33 across the 7 of their papers we have counts for
7 papers
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…
Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction
Mohan Raj Chanthran, Lay-Ki Soon, Huey Fang Ong +1
Standard English and Malaysian English exhibit notable differences, posing challenges for natural language processing (NLP) tasks on Malaysian English. Unfortunately, most of the e…
How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction
Mohan Raj Chanthran, Lay-Ki Soon, Huey Fang Ong +1
Recently, ChatGPT has attracted a lot of interest from both researchers and the general public. While the performance of ChatGPT in named entity recognition and relation extraction…
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…
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…
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…
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…