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
pear_tea is a beverage	1111	06-jul-2018	99.9
vuelta_al_ecuador is a sports race	1111	06-jul-2018	100.0
silvano_s_restaurant is a restaurant	1111	06-jul-2018	100.0
robert_robertson is a journalist	1111	06-jul-2018	100.0
pamiri_languages is a language	1111	06-jul-2018	99.3
quentin_tarantino directed the movie death_proof	1115	03-sep-2018	99.3
georgetown_university_law_center is a sports team that plays in the league international	1116	12-sep-2018	100.0
the country south_korea uses the currency won	1116	12-sep-2018	100.0
lorenzo_barcelo plays the sport baseball	1116	12-sep-2018	93.8
leto is the mother of apollo	1116	12-sep-2018	100.0