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
robert_lee is a Mexican person	1111	06-jul-2018	100.0
american_society_of_safety_engineers is a non-profit organization	1111	06-jul-2018	100.0
bright_green is a color	1111	06-jul-2018	100.0
orange_cranberry_bread is a baked good	1111	06-jul-2018	100.0
community_church_of_the_nazarene is a religion	1111	06-jul-2018	100.0
oscar_wilde wrote the book a_woman_of_no_importance	1113	15-aug-2018	100.0
sweats is a clothing item to go with shirt	1111	06-jul-2018	100.0
rosen_centre is a hotel in the city orlando	1116	12-sep-2018	100.0
beer is an agricultural product produced in uk_	1116	12-sep-2018	96.9
andrew_luck is an athlete that played for the team of school stanford	1111	06-jul-2018	100.0