Priyanshi Gupta
priyanshig[at]iiitd.ac
I am currently working as a NLP Research Associate at the Laboratory for Computational Social Systems (LCS2),
an inter institute lab between IIT Delhi and IIIT-Delhi , where I am advised by Prof. Tanmoy Chakraborty.
As my first project, I explored hate speech in electoral politics in India followed by an industry collaboration with RAxter division of Crimson Interactive
to help build their inline citation classification system to support research scholars in various stages of their research. Currently, I am extending my knowledge
by working in the Hyperbolic Space on Multimodal Information Retrieval and Feed Item Recommendation in collaboration with SAMSUNG Research
where I am forming a taxonomy for image, speech, and text data.
My primary research interests lie in:
- Computational Social Science
- Machine/Speech Translation
- NLP for Smart Cities/Climate Tech
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LinkedIn
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I have had wonderful experiences at:
[Sep 2021 - Dec 2022] The AI Institute, University of South Carolina (AIISC) with Dr. Biplav Srivastava working on Numerical Reasoning and Summarization of Sensor Data;
[Feb 2022 - April 2022] SYSTRAN, Paris with Dr. Josep Crego working on Speech Translation;
[Oct 2021 - Jan 2022] NVIDIA with Bharat Giddwani working on Automatic Speech Recognition for Hindi Speech;
I graduated in 2022 with a Bachelors in Technology in Computer Science from Guru Gobind Singh Indraprastha University (GGSIPU) and my thesis on
"Visual Question Answering" was selected for the Best Major Project Award by the university.
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Highlights
(scroll for more)
2022
- [Dec] Volunteered as an organizer at ICON'22.
- [Nov] Paper on Hate Comments Detection on the Moj platrform got accepted at ICON, 2022.
2018
- [Sept] Joined GGSIPU as an undergraduate student in B-Tech Computer Science.
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The "Golden Potatoes" of Indian Politics: Analysing Political Attacks on Twitter During Assembly Elections 2022
Sarah Masud*, Priyanshi Gupta*, Disha Sharma, Tanmoy Chakraborty
Under Review
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PeriCite: Inline Citation Classification using Peripheral Context and Time-evolving Augmentation
Priyanshi Gupta*, Yash Kumar Atri*, Sourish Das Gupta, Tanmoy Chakraborty
Under Review
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AniMOJity: Detecting Hate Comments in Indic languages and Analysing Bias against Content Creators
Rahul Khurana*, Chaitanya Pandey*, Priyanshi Gupta*, Preeti Nagrath
International Conference on Natural Language Processing (ICON 2022)
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Translate2Classify: Machine Translation for E-Commerce Product Categorization in comparison to Machine Learning & Deep Learning Classification
paper /
code
Priyanshi Gupta, Shatakshi Raman
International Conference on Data Analysis and Management (ICDAM 2021)
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American Checkers Game using Game Theory and Artificial Intelligent Algorithms
paper
Priyanshi Gupta, Vividha, Preeti Nagrath
Book Chapter in "Deep Learning in Gaming and Animations: Principles & Applications
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An Empirical Research and Comprehensive Analysis of Stock Market Prediction using Machine Learning and Deep Learning Techniques
paper /
code
Aryendra Singh,Priyanshi Gupta, Narina Thakur
International Conference on Computational Research and Data Analytics (ICCRDA 2020)
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The Laboratory of Computational Social Systems (LCS2), Delhi, India
July 2022 - Present
Research Associate with Dr. Tanmoy Chakraborty
- Worked on Hate Speech in Electoral Politics
- Developed an industry level citation classfication system for RAxter
- Working on Automated Taxonomy Generation in the Hyperbolic Space for Samsung
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Samsung Research, India
Dec 2022 - Present
Project Associate as an indsutry collaboration at LCS2
- Devloping a Multimodal Feed Recommendation System in the Hypoerbolic space.
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Rax, Crimson Interactive, India
July 2022 - Dec 2022
Associate Researcher as an indsutry collaboration at LCS2
- Devloped a novel production level Citation Classfication System.
- Working on Paraphrasing a summary.
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The AI Institute, University of South Carolina
Sep 2021 - July 2022
Research Intern with Dr. Biplav Srivastava
- Working on NLP for Smart Cities
- Summarized interesting insights from the hospital's sensor data by introducing a novel architecture based on question
generation and ranking, numerical reasoning, and answer generation as a summary ( In Progress ) .
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SYSTRAN, Paris
Summer, 2020
Research Engineer Intern with Dr. Joseph Crego
Develped a robust speech translation model using OpenNMT with a model performance of 35% for en-de by introducing quasi homophones as noise
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NVIDIA, Bangalore
Oct 2021 - Jan 2022
Deep Learning Engineer Intern
Evaluated Jasper and Citrinet (ASR models) and optimized them for Hindi speech using the Nemo toolkit.
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NOKIA, Gurgugram
Feb 2021
Data Science Intern
Developed a tool to translate Multilingual Financial Document PDFs using Tesseract & EasyNMT.
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GRROOM, IIT Bombay
July 2020 - Oct 2020
Machine Learning Intern
Assisted a fashion-tech startup to build the "World's First AI Fashion Stylist" by managing the teams, solving problems and contributing to the AI model.
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Thanks to Jon Barron for this nice template!
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B-Tech, Computer Science and Engineering
Guru Gobind Singh Indraprastha University (GGSIPU)
2018-2022
CGPA: 3.8/4.0; Courses: Operating Systems, Artificial Intelligence, Data Structures, Software Engineering
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Summer School, Data Science and Machine Learning
University of Warwick in London
2019-2019
Grade: A+ Guided by Prof. Florin Cuicu. Courses: R, Statistics, Machine Learning, Recommendations in Social Networks
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