I am a second year PhD student at Paul G. Allen School of Computer Science & Engineering at the University of Washington, where I am advised by Hannaneh Hajishirzi and Luke Zettlemoyer. I am interested in question answering, explaining neural models and pre-training methods. My CV.

I have an MS in Language Technology from LTI, Carnegie Mellon University and a B.Tech in Computer Science and Engineering from IIT Kharagpur.

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Publications

• An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
  Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, and Luke Zettlemoyer
  EMNLP 2020

• Evaluating Influence Functions for Memory Replay in Continual Learning
  Sanket Vaibhav Mehta*, Bhargavi Paranjap*, Sumeet Singh*
  Workshop on Multi-Task and Lifelong Reinforcement Learning, ICML 2019

• Entity Projection via Machine-Translation for Cross-Lingual NER
  Alankar Jain, Bhargavi Paranjape, Zachary C Lipton
  EMNLP 2019

• Contextualized Representations for Low-resource Utterance Tagging
  Bhargavi Paranjape, Graham Neubig
  SIGDIAL 2019

• Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents
  Aditi Chaudhary*, Bhargavi Paranjape*, Michiel de Jong*
  Arxiv Preprint

• Towards Automatic Generation of Peer-Targeted Science Talk in Curiosity-Evoking Virtual Agent.
  Bhargavi Paranjape, Yubin Ge, Zhen Bai, Jessica Hammer, Justine Cassell
  2018 ACM International Conference on Intelligent Virtual Agents (IVA)

• Predicting the temporal and social dynamics of curiosity in small group learning
  Bhargavi Paranjape, Zhen Bai, and Justine Cassell
  2018 International Conference on Artificial Intelligence in Education (AIED)

• ProtoNN: compressed and accurate kNN for resource-scarce devices
  Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
  ICML 2017

• Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media
  Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, and Niloy Ganguly
  2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
  Best Student Paper Award

• SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
  Dheerak Mekala, Vivek Gupta, Bhargavi Paranjape, and Harish Karknick
  EMNLP 2017

Preprints

• Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents
  Aditi Chaudhary*, Bhargavi Paranjape*, Michiel de Jong*
  

Professional Contributions

• Reviewer at EMNLP 2020, AKBC 2020
• Organizing HAMLETS (Human And Machine in-the-Loop Evaluation and Learning Strategies) workshop at Neurips 2020.

* equal contributions