Summer School on Natural Language Processing Hosted by IIIT Hyderabad (online)

Sponsored by Microsoft


Dates: 5 to 16 July 2021

Academic Coordinators:

Organizing institution: IIIT Hyderabad

Platform: Google-Meet/Microsoft Teams/Zoom

Description of school:
The proposed school aims to create awareness among the under-graduate and postgraduate students in Natural Language Processing (NLP). The school will focus on foundational knowledge in NLP, the current state-of the-art research challenges and opportunities, and future trends. A salient aspect of this school is to emphasize hands-on sessions with suitable case studies.

List of subtopics:

Foundation for NLP

  • Introduction to NLP
  • Python for NLP
  • ML for NLP

NLP tools

  • Language modelling
  • Shallow parsing

Advanced NLP

  • DL for NLP
  • Meaning representation
    • Global vectors
    • Contextual vectors
  • BERT and associated models


  • Machine translation
  • Information extraction and question answering
  • Information retrieval
  • Text summarization

Partial list of speakers:

  • Manish Shrivastava (IIIT Hyderabad)
  • Naresh Manwani (IIIT Hyderabad)
  • Mayank Singh (IIT Gandhinagar)
  • Vasudeva Varma (IIIT Hyderabad)
  • Ponnurangam Kumaraguru (IIIT Delhi)
  • Sandipan Dandapat (Microsoft)
  • Anoop Kunchukuttan (Microsoft)
  • Monojit Choudhury (Microsoft)
  • Pushpak Bhattacharya (IIT Bombay)

Background/prior courses recommended:

  • Basics of Probability and Statistics
  • Linear Algebra
  • Python
  • Data Structures and Algorithms