I 256: Applied Natural Language Processing
|Fall 2009, Barbara Rosario|
Much of the most valuable information available today resides in textual form, but natural language is notoriously difficult to process automatically. Applied natural language processing -- also known as automated content analysis and language engineering -- can provide partial solutions. This course will examine the state-of-the-art in applied NLP, with an emphasis on how they can be used (or not) in applications. Topics will include text summarization, text mining, question answering, information extraction, text categorization, author and genre recognition, word sense disambiguation, and lexical and ontological acquisition, and text analysis for social applications such as Blogs and social networks.
Although we will not cover speech recognition, we will examine how NLP can help speech technologies.
The instructor (fall 09) is Barbara Rosario, Lecturer and Research Scientist for Intel Labs
For more detailed information on the class, see the schedule.