NLP220: Data Collection, Wrangling and Crowdsourcing for Natural Language Processing

This course covers a broad set of tools and core skills required for working with Natural Language Data. It covers methods for collecting, merging, cleaning, structuring and analyzing the properties of large and heterogeneous datasets of natural language, in order to address questions and support applications relying on those data. It covers both working with existing corpora as well as the challenges in collecting new corpora. Enrollment restricted to NLP graduate students.

5 Credits

YearFallWinterSpringSummer
2020-21

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