7 citations · 8 across the 4 of their papers we have counts for
4 papers
Code-Switching with Word Senses for Pretraining in Neural Machine Translation
Vivek Iyer, Edoardo Barba, Alexandra Birch +2
Lexical ambiguity is a significant and pervasive challenge in Neural Machine Translation (NMT), with many state-of-the-art (SOTA) NMT systems struggling to handle polysemous words…
Towards Effective Disambiguation for Machine Translation with Large Language Models
Vivek Iyer, Pinzhen Chen, Alexandra Birch
Resolving semantic ambiguity has long been recognised as a central challenge in the field of Machine Translation. Recent work on benchmarking translation performance on ambiguous s…
A Deep Learning Approach for Ontology Enrichment from Unstructured Text
Lalit Mohan Sanagavarapu, Vivek Iyer, Raghu Reddy
Information Security in the cyber world is a major cause for concern, with a significant increase in the number of attack surfaces. Existing information on vulnerabilities, attacks…
A framework for syntactic and semantic quality evaluation of ontologies
Vivek Iyer, Lalit Mohan Sanagavarapu, Raghu Reddy
The increasing focus on Web 3.0 is leading to automated creation and enrichment of ontologies and other linked datasets. Alongside automation, quality evaluation of enriched ontolo…