Semantics

 

 


 

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E.g., 2017-08-18
E.g., 2017-08-18
E.g., 2017-08-18
Aug 14th 2017

The aim of the course is to obtain the idea of the lexicon as a complex system and to get the methodology of the typological approach to the lexicon cross-linguistically, as well as to learn about the general mechanisms of semantic shift and their typological relevance.

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Aug 7th 2017

Welcome to Quantitative Formal Modeling and Worst-Case Performance Analysis. In this course, you will learn about modeling and solving performance problems in a fashion popular in theoretical computer science, and generally train your abstract thinking skills.

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Nov 7th 2016

This course provides an introduction to the field of Natural Language Processing. It includes relevant background material in Linguistics, Mathematics, Probabilities, and Computer Science. Some of the topics covered in the class are Text Similarity, Part of Speech Tagging, Parsing, Semantics, Question Answering, Sentiment Analysis, and Text Summarization.

Average: 10 (1 vote)

Self Paced Course - Start anytime

In this course, you will learn the fundamentals of Semantic Web technologies. You will learn how to represent knowledge and how to access and benefit from semantic data on the Web.

Average: 6.3 (4 votes)