Eva Sharma

I currently work at Microsoft with the Speech and Language group. Before this I have been at Northeastern University and Georgia Institute of Technology working on research topics in Natural Language Processing and Computational Social Sciences. Prior to that, I completed my Master's degree in Computer Science from Cornell University and my Bachelor's degree (Gold Medalist) in Computer Science and Engineering from SRM University.


  • GitHub   Google Scholar   Blog  

Publications

  1. Adaptation of RNN Transducer with Text-to-Speech Technology for Keyword Spotting
    Eva Sharma, Guoli Ye, Wenning Wei, Rui Zhao, Yao Tian, Jian Wu, Lei He, Ed Lin and Yifan Gong
    In Proceedings of the 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
    Paper
  2. An Entity-Driven Framework for Abstractive Summarization
    Eva Sharma, Luyang Huang, Zhe Hu, and Lu Wang
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
    Paper
  3. In Plain Sight: Media Bias Through the Lens of Factual Reporting
    Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, Lu Wang
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
    Paper
  4. The Language of LGBTQ+ Minority Stress Experiences on Social Media
    Koustuv Saha, Sang Chan Kim, Manikanta D. Reddy, Albert J. Carter, Eva Sharma, Oliver L. Haimson, Munmun De Choudhury
    In ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) 2019
    Paper
  5. BigPatent: A Large-Scale Dataset for Abstractive and Coherent Summarization
    Eva Sharma, Chen Li and Lu Wang
    In Annual Meeting of the Association for Computational Linguistics (ACL) 2019
    Paper
  6. Mental Health Support and its Relationship to Linguistic Accommodation in Online Communities.
    Eva Sharma and Munmun De Choudhury
    In ACM CHI Conference on Human Factors in Computing Systems 2018
    Paper
  7. Detecting Lies: Comparing the Performance of Humans and Computers Alone and Together
    Sebastian Deri, Eva Sharma, Jeremie Rappaz, Miriam Redi, Luca Aiello and Daniele Quercia
    In Conference on Digital Experimentation (CODE@MIT) 2017
    Poster
  8. Analyzing Ideological Discourse on Social Media: A Case Study of the Abortion Debate
    Eva Sharma, Koustuv Saha, Sindhu Kiranmai Ernala, Sucheta Ghoshal and Munmun De Choudhury
    In Computational Social Science Conference (CSS) 2017
    Paper   Slides

Teaching