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Last verified: 2026-08-03
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NLP technologies are applied everywhere as people communicate mostly in language: language translation, web search, customer support, emails, forums, advertisement, radiology reports, to name a few. There are a number of core NLP tasks and machine learning models behind NLP applications.
What You'll Learn
In this short course, participants will get an overview of the core NLP tasks that include meaning representation of words (word2vec models), shallow and deep sentence structures (Part-of-speech tagging, chunking, dependency and constituency parsing), semantic parsing, and discourse analysis.
The course will also cover important NLP applications such as Machine Translation, Summarization, and Question Answering. We will see deep learning approaches to these problems with hands-on excercises using Tensorflow and Pytorch.