CS 3710 ADV TOPICS ARTIFICIAL INTELLGNC
DescriptionMinimum Credits: 3
Maximum Credits: 3
This course will survey current topics in artificial intelligence.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PREQ: CS 2710
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|29530 (1010)||MW||5:00 pm - 6:15 pm||LRDC 900||D. Litman||LEC||AT|
|Description||Computational argumentation (often referred to as argument mining) is a relatively new challenge in artificial intelligence that focuses on understanding as well as generating argumentation structures in natural language texts. Success in computational argumentation requires interdisciplinary approaches informed by natural language processing and machine learning technology, formal theories of argumentation, and expertise in application domains. Domains of interest include education, law, medicine, and politics. Textual sources of interest include legal cases, academic literature, newspaper archives, Wikipedia articles, student essays, spoken conversational transcripts, product reviews, user comments, online debates, tweets, and other social media.|