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Pages

Posts

Future Blog Post

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Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

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Blog Post number 2

less than 1 minute read

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Blog Post number 1

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

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).

Download here

talks

teaching

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.

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.