research product . 2020

Teaching Natural Language Processing through Big Data Text Summarization with Problem-Based Learning

Li, Liuqing; Geissinger, Jack; Ingram, William A.; Fox, Edward A.;
Open Access English
  • Published: 01 Jan 2020
  • Publisher: Sciendo
  • Country: United States
Natural language processing (NLP) covers a large number of topics and tasks related to data and information management, leading to a complex and challenging teaching process. Meanwhile, problem-based learning is a teaching technique specifically designed to motivate students to learn efficiently, work collaboratively, and communicate effectively. With this aim, we developed a problem-based learning course for both undergraduate and graduate students to teach NLP. We provided student teams with big data sets, basic guidelines, cloud computing resources, and other aids to help different teams in summarizing two types of big collections: Web pages related to events...
Persistent Identifiers
free text keywords: information system education, computer science education, problem-based learning, natural language processing, NLP, big data text analytics, machine learning, deep learning
Related Organizations
Digital Humanities and Cultural Heritage
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