Mining Commonsense Knowledge From Personal Stories in Internet Weblogs
published: June 7, 2010, recorded: May 2010, views: 4032
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.
Recent advances in automated knowledge base construction have created new opportunities to address one of the hardest challenges in Artificial Intelligence: automated commonsense reasoning. In this paper, we describe our recent efforts in mining commonsense knowledge from the personal stories that people write about their lives in their Internet weblogs. We summarize three preliminary investigations that involve the application of statistical natural language processing techniques to corpora of millions of weblog stories, and outline our current approach to solving a number of outstanding technical challenges.
Download slides: akbc2010_gordon_mckfp_01.ppt (1.1 MB)
Download article: akbc2010_gordon_mckfp_paper.pdf (207.7 KB)
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !