COURSE INFORMATION
Instructor	Ani Nenkova, nenkova@seas.upenn.edu Office: Levine Hall 505 Office Hours: by appointment
Time	TT 4:30-6pm
Location
Description	Automatic summarization can help alleviate the information overload problem caused by the unprecedented amount of online textual information. The building of a summarization system requires good understanding of the properties of human language and the use of various natural language tools. In this course we will build several summarization systems of increasing complexity and sophistication. In the process we will learn about various natural language processing tools and resources such as part of speech tagging, chunking, parsing, Wordnet, and machine learning toolkits. We will also cover probability and statistics concepts used in summarization, but also applicable to a wide range of other language-related tasks.

	SCHEDULE
Class	Date	Who	Topic and Readings