• Course venue is Conference Hall Number 2 in the Conference Center.
• Last date of receipt of application form and registration fee is extended to 31.10.2019.
• Final list of selected candidates will be displayed on this website by 05.11.2019. No separate emails will be sent to the shortlisted candidates.
• Due to certain constraints, the course is rescheduled to November 18 - 22, 2019. Applicants who have already sent application, do not need to send it again.
• Tentative Schedule of the course.
• Last date of receipt of Application Form and Registration Fee is 31.10.2019.
• For any query reach us at teqip3nlp2019.iitg@gmail.com
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Objectives of this course is two-fold. First, to provide mathematical understanding of various NLP methods. Second, to make participants familiar with commonly used tools and models for NLP through hands-on-sessions. Retrieving relevant information for natural language texts, extracting knowledge from it and representing them in a structured way are challenging problems. Natural Language Processing (NLP) analyses the above stated challenges and develop models to overcome them. Primary objective of the course is to introduce NLP fundamentals and relevant deep learning models for solving NLP problems. Being an application oriented course, multiple Hands-on-sessions are planned to make sure participants spend time in familiarizing themselves with available tools and work on some basic problems. Thus, another objective is to focus on learning by practicing. However, we do not want participants to use tools blindly but want to make sure they have minimal understanding of the commonly used statistical and machine learning models.

Thus, objective of the course can be summarized as follows:

• Introduce NLP fundamentals.
• Introduce commonly used Statistical and Machine Learning Models.
• Introduce Basic Deep Learning Models.
• Multiple Hands-on-Sessions to introduce basic tools and how to use them efficiently for basic NLP pre-processing, and building models.

• Dr. Ashish Anand, Department of CSE, IIT Guwahati.
• Dr. Amit Awekar, Department of CSE, IIT Guwahati.
• Dr. Debapriya Basu, Department of Humanities and Social Sciences, IIT Guwahati.
• Dr. Deepanjan Kesh, Deptartment of CSE, IIT Guwahati.
• Dr. Sanasam Ranbir Singh, Department of CSE, IIT Guwahati.
• Dr. V. Vijaya Saradhi, Department of CSE, IIT Guwahati.

• Day 1: Introduction to Natural Language Processing (NLP), N-gram Language Model, Data Mining techniques for NLP, Getting Started with basic NLP tools (Hands-on Session).
• Day 2: Introduction to Neural Network, Building own Neural Network from Scratch (Hands-on Session).
• Day 3: Neural Language Models, Vector Semantics, Neural Models for Vector Representation.
• Day 4: Models for Sequence Labelling Task, Neural Models for Named Entity Recognition (NER), Building Deep Learning models (Hands-on Session).
• Day 5: Application, Effective Teaching Pedagogies, Machine Learning and NLP Research at IIT Guwahati.

The course is open to faculty members of TEQIP-III mapped institutions. Please refer to "Institution List" link in the NPIU website for list of TEQIP-III mapped institutions. However, PhD scholars/PG students from these institutions may be accommodated subject to the vacancy of seats. There will be a refundable registration fee of 2500 INR for the participants from TEQIP-III mapped institutions. Seats that remain unfilled will be open to faculty/students of other institutions with a non-refundable registration fee of 2950 INR (2500 INR + 18% GST). There will be a total of 40 seats for the course based on application followed by shortlisting. The registration fee will cover course materials and working lunch.

1. Take a Demand Draft of above mentioned amount drawn in favour of Registrar, IIT Guwahati, payable at Guwahati towards registration fee.
2. Download the course Application Form and fill-up (typesetting is preferred over handwritten) all the entries including DD details.
3. Generate a pdf document of the filled up application form and take a printout of the same.
4. Affix your recent passport size color photograph and put your signature in the respective cells.
5. Download the course Endorsement Form and get it duly approved and signed by the head of your institution. Seal of the institute is mandatory.
6. Send the documents and DD via speedpost to the Course cordinator (postal address given below) so as to reach IIT Guwahati before the due date (31.10.2019).
7. Send a soft copy (preferrably pdf) of the duly filled application form to teqip3nlp2019.iitg@gmail.com.
8. Fill this Intimation Form after you have sent the application form and the DD via post.

For participants from TEQIP-III mapped institutions, based on request, accommodation can be arranged free of cost in the Institute Guest House for faculty members and student hostels inside IITG campus for research scholars/PG students. Participants from non-TEQIP institutes should make their own arrangements for boarding and lodging. However, we shall assist them to get accommodation inside campus if requested. No DA/TA will be paid to the participants from IIT Guwahati.