CSE590A - Machine Reading
Spring Quarter 2009
Day / Time: Fridays 3:30-4:20
This Spring, 590a will be on "Machine Reading" - the process of extracting high-level knowledge from natural language text, for example from Web pages. Most people know about the work on machine reading which is happening here at UW CSE (e.g. KnowItAll, TextRunner, Kylin, and the work based on Markov Logic Networks), but the area is also heating up dramatically at other Universities and research labs. We'll spend the quarter reading the latest papers on the topic and brainstorming about new directions. Participants may be asked to help lead class discussion of papers or to talk about their ongoing research on the topic.
We will not use the cse590a mailing list. Instead, announcements about the seminar will go to uw-ai. If you do not already subscribe to uw-ai, then join by sending mail to firstname.lastname@example.org, with the line "subscribe listname" in the body of the message. You are welcome to discuss the presentations on the mailing list.
|April 3rd||Cancelled||in conflict with the CSE Ski day|
|April 10th||Stefan Schoenmackers||Please read the paper Learning by Reading and come with ideas of papers you'd like to read. We'll spend part of class discussing it and the remainder organizing for the rest of the quarter.|
|April 17th||Imre Solti||Open Information Extraction from the Web|
|April 24th||Alan Ritter||Learning to Sportscast: A Test of Grounded Language Acquisition|
|May 1st||Aniruddh Nath||Discovering Causal and Temporal Relations in Biomedical Texts|
|May 8th||Andrey Kolobov||Joint Unsupervised Coreference Resolution with Markov Logic|
|May 15th||Hoifung Poon||Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars|
|May 22th||Anthony Fader||Cross-Document Coreference Resolution: A Key Technology for Learning by Reading|
|May 29th||Janara Christensen||A Study of Machine Reading from Multiple Texts||June 5th||Chloe Kiddon||Integrating Natural Language, Knowledge Representation and Reasoning, and Analogical Processing to Learn by Reading|