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.
Publications
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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 -
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
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FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Wen-tau Yih, Yashar Mehdad, Srinivasan Iyer -
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, NAACL 2021
- Organizing HAMLETS (Human And Machine in-the-Loop Evaluation and Learning Strategies) workshop at Neurips 2020.
* equal contributions