Learning to Disambiguate Natural Language Using World Knowledge

author: Antoine Bordes, Facebook
published: Jan. 19, 2010,   recorded: December 2009,   views: 4294


Related Open Educational Resources

Related content

Report a problem or upload files

If 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.
Lecture popularity: You need to login to cast your vote.


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.

See Also:

Download slides icon Download slides: nipsworkshops09_bordes_ldnluwk_01.pdf (838.9┬áKB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: