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HU Credits:
3
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Computer Sciences
Semester:
1st Semester
Teaching Languages:
English and Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Roy Schwartz
Coordinator Office Hours:
Teaching Staff:
Prof. roy schwartz
Course/Module description:
See https://docs.google.com/document/d/1fkQYEU86dRLxjaNYlsHOV2xarEZoIk2kMjUa_7aCjaE/edit?usp&eq;sharing
Course/Module aims:
1. Learning about different ways to reduce the computational cost of NLP.
2. Learning "soft skills" about research, publishing, reviewing and more.
3. Proficiency in reading academic papers.
Learning outcomes - On successful completion of this module, students should be able to:
1. Read, understand, and criticize advanced NLP papers.
2. Present different aspects of papers in class.
3. Communicate and understand ideas about efficiency.
4. Write basic versions of NLP papers
Attendance requirements(%):
80%
Teaching arrangement and method of instruction:
See https://docs.google.com/document/d/1fkQYEU86dRLxjaNYlsHOV2xarEZoIk2kMjUa_7aCjaE/edit
Course/Module Content:
See https://docs.google.com/document/d/1hXolUPfbYcchppcWvwAx7mV6__Q-VNfSBkHrA60AUJc/edit
Required Reading:
Each week's paper.
Additional Reading Material:
Grading Scheme :
Presentation / Poster Presentation / Lecture 100 %
Additional information:
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