Summer School on Natural Language Processing Hosted by IIIT Hyderabad (online)
Sponsored by Microsoft
Dates: 5 to 16 July 2021
Academic Coordinators:
- Manish Shrivastava [email protected]
- Naresh Manwani [email protected]
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
Application
- 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