Nisansa de Silva
11 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Champion
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Keyword Collector
(51)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Natural Language Processing
(9)
Applications
(7)
Application Areas
(5)
Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Architectures
(3)
Core Methods
(3)
Resources & Methods
(3)
Learning Types Β· Deep Learning
(2)
Artificial Intelligence
(1)
Core AI
(1)
Generation
(1)
Optimization & Theory Β· Machine Learning
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
low-resource language
(5)
neural machine translation
(5)
graph convolutional network
(2)
domain adaptation
(2)
data curation
(2)
parallel corpus
(2)
rumor detection
(1)
machine translation
(1)
sentiment analysis
(1)
linguistic disparity
(1)
multi-view learning
(1)
node clustering
(1)
semantic similarity
(1)
language identification
(1)
knowledge distillation
(1)
legal domain
(1)
social network
(1)
knowledge graph
(1)
jensen-shannon divergence
(1)
text classification
(1)
Papers
Team VYN at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis
SemEval 2026
Encoder-Aware Sequence-Level Knowledge Distillation for Low-Resource Neural Machine Translation
NAACL 2025
Improving the Quality of Web-mined Parallel Corpora of Low-Resource Languages using Debiasing Heuristics
EMNLP 2025
Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches
COLING 2025
Back to the Stats: Rescuing Low Resource Neural Machine Translation with Statistical Methods
EMNLP 2024
Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora
EACL 2024
Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research
ACL 2024
Some Languages are More Equal than Others: Probing Deeper into the Linguistic Disparity in the NLP World
AACL 2022
Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks
EACL 2021
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization
COLING 2020
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning
EMNLP 2018