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CS224U: Natural Language Understanding. Instructors: Prof. Christopher Potts and Prof. Bill MacCartney, Department of Linguistics and Computer Science, Stanford University.
416 years, 7 months
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From conversational agents to automated trading and search queries, natural language understanding underpins many of today's most exciting technologies. How do we build these models to understand language efficiently and reliably? In this project-oriented course, you will develop systems and algorithms for robust machine understanding of human language. The course draws on theoretical concepts from linguistics, natural language processing, and machine learning. You can find more information about this course, such as lecture slides and syllabus, here. (from Stanfordonline)
Course Currilcum
- Lecture 01 – Course Overview Unlimited
- Lecture 02 – Word Vectors, Part 1 Unlimited
- Lecture 03 – Word Vectors, Part 2 Unlimited
- Lecture 04 – Word Vectors, Part 3 Unlimited
- Lecture 05 – Sentiment Analysis, Part 1 Unlimited
- Lecture 06 – Sentiment Analysis, Part 2 Unlimited
- Lecture 07 – Relation Extraction Unlimited
- Lecture 08 – NLI (Natural Language Inference), Part 1 Unlimited
- Lecture 09 – NLI, Part 2 Unlimited
- Lecture 10 – Grounding Unlimited
- Lecture 11 – Semantic Parsing Unlimited
- Lecture 12 – Evaluation Methods Unlimited
- Lecture 13 – Evaluation Metrics Unlimited
- Lecture 14 – Contextual Vectors Unlimited
- Lecture 15 – Presenting Your Work Unlimited
