Krishnapriya Vishnubhotla

Krishnapriya Vishnubhotla

NLP | ML

PhD in Computer Science, University of Toronto

vkpriya [at] cs.toronto.edu

About Me

I graduated in June 2024 with a PhD in Computer Science from the University of Toronto, where I was part of the Computational Linguistics group, supervised by Graeme Hirst and Frank Rudzicz.

My PhD projects focused on modelling variation in language use as a function of speaker identity, a research area that falls at the intersection of natural language processing, sociolinguistics, and psycholinguistics (thesis here!).

I am interested in leveraging large text datasets to better understand how facets of individual identity and communicative goals affect the ways in which information is conveyed via language, and more broadly in the applications of NLP technologies in the social sciences and humanities.

I am currently on the job market for industry roles in NLP and ML.

Interests

  • Natural Language Processing
  • Computational Sociolinguistics, Psycholinguistics
  • Machine Learning

Education

  • PhD in Computer Science, 2019-2024

    University of Toronto

  • M.Sc in Computer Science, 2017-2019

    University of Toronto

  • B.Tech in Computer Science, 2013-2017

    National Institute of Technology Karnataka-Surathkal

Experience

 
 
 
 
 

Research Intern

National Research Council, Canada

Jun 2023 – Jan 2024 Toronto
 
 
 
 
 

Research Intern

Georgian Partners

May 2020 – Dec 2020 Toronto
 
 
 
 
 

Research Intern

Samsung AI Center Toronto

May 2019 – Sep 2019 Toronto

Selected Publications

Find an expanded selection here, or visit my scholar page for a more up-to-date list.

July 2024 Under Review Under Review, Preprint

Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health

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July 2024 Under Review Under Review, Preprint

The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories

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June 2023 Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) Refereed Publications

Improving Automatic Quotation Attribution in Literary Novels

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March 2023 Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics Refereed Publications

What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study

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April 2022 Proceedings of the 13th Language Resources and Evaluation Conference (LREC) 2022 Refereed Publications

The Project Dialogism Novel Corpus: A Dataset for Quotation Attribution in Literary Texts

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August 2021 Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 Refereed Publications

An Evaluation of Disentangled Representation Learning for Texts

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See all publications

Teaching and Mentorship

Research Supervision

  • Xi Yu Huang, University of Toronto, June-Dec 2023

AI4Good Lab Teaching Assistant

  • The AI4Good Lab is a 7-week introductory machine learning program for under-represented groups in the field. As a TA, I designed and ran daily tutorial sessions on ML theory, programming, and mentored teams on an applied NLP project on style transfer.

Co-Instructor

(University of Toronto)

  • EEB 125: Computation and Data Science for the Life Sciences, Winter 2024

Lead TA

(University of Toronto)

  • ENG 286: Literature and Data, University of Toronto, Winter 2023
  • EEB 125: Computation and Data Science for the Life Sciences, Fall 2023
  • GGR 274: Computation and Data Science for the Social Sciences, Fall 2023

Teaching Assistant:

(University of Toronto)

  • CSC 401/2511: Natural Language Computing, Winter 2022
  • CSC 108: Introduction to Computer Programming, various sememters
  • CSC 309: Programming on the Web, various sememters