Avatar

Vivek Kulkarni

Postdoctoral Scholar in Computer Science

Stanford University

I am a post-doctoral research scholar at Stanford advised by Prof. Dan Jurafsky and Prof. Daniel McFarland. My research interests are at the intersection of natural language processing and computational social science. In particular, I am focused on making NLP models human-centric, socially aware, robust and fair. I am also interested in applying NLP methods to uncover social biases through the lens of natural language.

To know more about my research, please see my Research Statement, and CV.

Latest News:

  1. Upcoming talk scheduled at University of Arizona!

  2. Upcoming talk scheduled at Penn State!

Interests

  • Natural Language Processing
  • Computational Linguistics
  • Computational Social Science

Education

  • PhD in Computer Science, 2017

    Stony Brook University

  • MS in Computer Science, 2014

    Stony Brook University

Recent Publications

Quickly discover relevant content by filtering publications.
Hang Jiang, Haoshen Hong, Yuxing Chen, Vivek Kulkarni (2020). DialectGram: Automatic Detection of Dialectal Variation at Multiple Geographic Resolutions. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing.

Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang (2019). TWEETQA: A Social Media Focused Question Answering Dataset. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

Pushkar Shukla, Carlos Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk, William Yang Wang (2019). What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing.

Hao Yu, Vivek Kulkarni, William Wang (2018). MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings. arXiv preprint arXiv:1811.00198.

Mai ElSherief, Vivek Kulkarni, Dana Nguyen, William Yang Wang, Elizabeth Belding (2018). Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media. Twelfth International AAAI Conference on Web and Social Media.

Vivek Kulkarni, Margaret L Kern, David Stillwell, Michal Kosinski, Sandra Matz, Lyle Ungar, Steven Skiena, H Andrew Schwartz (2018). Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach. PLOS One.

Haoyu Wang, Vivek Kulkarni, William Yang Wang (2018). DOLORES: Deep Contextualized Knowledge Graph Embeddings. arXiv preprint arXiv:1811.00147.

Vivek Kulkarni, Junting Ye, Steven Skiena, William Yang Wang (2018). Multi-view Models for Political Ideology Detection of News Articles. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing.

Vivek Kulkarni, Yingtao Tian, Parth Dandiwala, Steven Skiena (2018). Simple neologism based domain independent models to predict year of authorship. Proceedings of the 27th International Conference on Computational Linguistics.

Michael J Hazoglu, Vivek Kulkarni, Steven S Skiena, Ken A Dill (2017). Citation histories of papers: sometimes the rich get richer, sometimes they don't. arXiv preprint arXiv:1703.04746.

Bryan Perozzi, Vivek Kulkarni, Haochen Chen, Steven Skiena (2017). Don't Walk, Skip!: online learning of multi-scale network embeddings. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017.

Veronica Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H Andrew Schwartz (2017). Human Centered NLP with User-Factor Adaptation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing.

Vivek Kulkarni, William Yang Wang (2017). Tfw, damngina, juvie, and hotsie-totsie: On the linguistic and social aspects of internet slang. arXiv preprint arXiv:1712.08291.

Fatemeh Almodaresi, Lyle H Ungar, Vivek Kulkarni, Mohsen Zakeri, Salvatore Giorgi, H Andrew Schwartz (2017). On the Distribution of Lexical Features in Social Media. Annual Meeting of the Association for Computational Linguistics, ACL.

Vivek Kulkarni, Yashar Mehdad, Troy Chevalier (2016). Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings. arXiv preprint arXiv:1612.00148.

Vivek Kulkarni, Bryan Perozzi, Steven Skiena (2016). Freshman or fresher? quantifying the geographic variation of internet language. Tenth International AAAI Conference on Web and Social Media.

Yingtao Tian, Vivek Kulkarni, Bryan Perozzi, Steven Skiena (2016). On the convergent properties of word embedding methods. arXiv preprint arXiv:1605.03956.

Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, others (2016). Theano: A Python framework for fast computation of mathematical expressions. arXiv preprint arXiv:1605.02688.

Eran Shor, Arnout van de Rijt, Alex Miltsov, Vivek Kulkarni, Steven Skiena (2015). A paper ceiling: Explaining the persistent underrepresentation of women in printed news. American Sociological Review.

The Guardian CITAMS Best Paper Award

Rami Al-Rfou, Vivek Kulkarni, Bryan Perozzi, Steven Skiena (2015). Polyglot-NER: Massive multilingual named entity recognition. Proceedings of the 2015 SIAM International Conference on Data Mining.

Vivek Kulkarni, Rami Al-Rfou, Bryan Perozzi, Steven Skiena (2015). Statistically significant detection of linguistic change. Proceedings of the 24th International Conference on World Wide Web.

MIT Tech Review VICE ACM TechNews

Prateek Jain, Vivek Kulkarni, Abhradeep Thakurta, Oliver Williams (2015). To drop or not to drop: Robustness, consistency and differential privacy properties of dropout. arXiv preprint arXiv:1503.02031.

Rami Al-Rfou’, Vivek Kulkarni, Steven Skiena Bryan Perozzi (2014). Inducing Language Networks from Continuous Space Word Representations. Complex Net V.

Vivek Kulkarni, Jagat Sastry Pudipeddi, Leman Akoglu, Joshua T Vogelstein, R Jacob Vogelstein, Sephira Ryman, Rex E Jung (2013). Sex differences in the Human Connectome. International conference on brain and health informatics.