Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
new_age_examiner is a blog	1111	06-jul-2018	100.0
french_farmers is a farm	1111	06-jul-2018	99.9
movie_panic is a movie	1111	06-jul-2018	100.0
haloferax_sp__fb25_3 is an archaeon	1111	06-jul-2018	100.0
hung_to_seafood_restaurant is a restaurant	1111	06-jul-2018	100.0
urban_meyer coaches the team beloved_ohio_state_buckeyes	1116	12-sep-2018	100.0
the country south_korea uses the currency won	1116	12-sep-2018	100.0
wade is a journalist that writes for the publication new_york_times	1113	15-aug-2018	96.9
washington is a state that is bordered by the state british_columbia	1113	15-aug-2018	98.4
european_countries is a generalization of austria	1116	12-sep-2018	96.7