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publications
An Empirical Analysis on the Prediction of Web Service Anti-patterns Using Source Code Metrics and Ensemble Techniques
Published in International Conference on Computational Science and Its Applications, 2021
This paper is about the applications of Machine Learning algorithms like ensemble learning for the anti pattern detection.
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Myanmar Economic Monitor by World Bank - Jan 2022
Published in World Bank Group, 2022
The Myanmar Economic Monitor (MEM) is published semiannually and is a product of the World Bank’s Myanmar office
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WWBP-SQT-lite: Difference Embeddings and Multi-level Models for Moments of Change Identification in Mental Health Forums
Published in CLPsych Task at North American Chapter of the ACL (Association for Computational Linguistics) [NAACL], 2022
This paper evaluates two approaches to capturing psychological changes in text: the first relies on computing the difference between the embedding of a message with the one that precedes it, the second relies on a “human-aware” multi-level recurrent transformer (HaRT).
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 2
Workshop, University 1, Department, 2015
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Research Interests
, , 1900
I would love to develop systems that belong in:
- The problem of recommendation amuses me particularly. I am curious to learn more about how companies like Amazon, Netflix, Airbnb store data of millions of customers efficiently and provide instant recommendations. I have been exploring the application of Graph Neural networks to understand the various challenges in the domain.
- Developing scalable computational language models utilizing large-scale user generated text on social media platforms:
- I believe that social media platforms such as Reddit and Twitter, rich ecological sources of human interactions, can offer large volumes of unbiased conversations that can be summarized using NLP. They can help form targeted messaging and mitigation strategies, especially during crises and public health emergencies.
- Expanding on the above, the rife of hate speech and toxicity is of particular concern today. The language models like BERT and GPT2 have been found to frequently favor identity terms, such as “gay” and “black,” that describe a particular group of people. I am currently exploring techniques to mitigate such biases and build fair language models. Additionally, During crisis like COVID 19, the spread of fake news and misinformation have exacerbated the attempts by governments to distribute vaccines to fight the virus.