Learning to Disambiguate Natural Language Using World Knowledge
published: Jan. 19, 2010, recorded: December 2009, views: 212
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
We present a general framework and learning algorithm for the task of concept labeling: each word in a given sentence has to be tagged with the unique physical entity (e.g. person, object or location) or abstract concept it refers to. Our method allows both world knowledge and linguistic information to be used during learning and prediction. We show experimentally that we can handle natural language and learn to use world knowledge to resolve ambiguities in language, such as word senses or coreference, without the use of hand-crafted rules or features.
Download slides: nipsworkshops09_bordes_ldnluwk_01.pdf (838.9 KB)
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !