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20092025
most citedContrastive Representation Learning: A Framework and Review

855 citations · 958 across the 34 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

An Empirical Study on Chinese Character Decomposition in Multiword Expression-Aware Neural Machine Translation

Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton

Word meaning, representation, and interpretation play fundamental roles in natural language understanding (NLU), natural language processing (NLP), and natural language generation…

cs.CL2024

Capturing Bias Diversity in LLMs

Purva Prasad Gosavi, Vaishnavi Murlidhar Kulkarni, Alan F. Smeaton

This paper presents research on enhancements to Large Language Models (LLMs) through the addition of diversity in its generated outputs. Our study introduces a configuration of mul…

cs.CL2021

Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods

Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton

To facilitate effective translation modeling and translation studies, one of the crucial questions to address is how to assess translation quality. From the perspectives of accurac…

cs.CL20214 cited

Chinese Character Decomposition for Neural MT with Multi-Word Expressions

Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton +1

Chinese character decomposition has been used as a feature to enhance Machine Translation (MT) models, combining radicals into character and word level models. Recent work has inve…

cs.CL20206 cited

MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora

Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton

Multi-word expressions (MWEs) are a hot topic in research in natural language processing (NLP), including topics such as MWE detection, MWE decomposition, and research investigatin…