Introduction to Natural Language Processing (NLP)

Описание к видео Introduction to Natural Language Processing (NLP)

This talk is an introduction to Natural Language Processing (NLP) and its parent areas of Artificial Intelligence and Linguistics. We will discuss real use cases of NLP in the world today - starting with the core technology, and how that core technology is applied to solving real-world problems. We will focus on the following 3 topics in NLP:

1) Language Models: Used for auto-complete in text, translating from one language to another
2) Part of Speech: Used for keyword extraction, parsing
3) Word Embeddings: Used as a thesaurus, topic identification

Presenter Bio:
Dr. Rutu Mulkar is the founder of Hunchera, and previously the founder of Ticary Solutions (acquired by Sigmoidal). She received her Ph.D. in Natural Language Processing from USC and has contributed to IBM's Watson system that defeated humans in Jeopardy!

Table of Contents:
0:00 – Overview
3:00 – Syntax
6:38 – Context matters
8:00 – Part of speech tags
9:34 – Parsing resources
11:00 – Building your own tagger
19:21 – POS tags
21:08 – Keyword extraction
22:00 – Language models
48:00 – QnA

Slides can be found here:
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