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
post_grunge_metal is a genre of music	1111	06-jul-2018	99.0
spot_bearing_scorpionfish is a fish	1111	06-jul-2018	100.0
family_protection_act_1955 is a legislative bill	1111	06-jul-2018	94.3
kraft_card_stock is an office supply	1112	24-jul-2018	99.9
international_standards_organisation is a professional organization	1111	06-jul-2018	91.7
eggs is an agricultural product coming from one_hen	1112	24-jul-2018	93.8
the coach holliday won the trophy or tournament world_series	1115	03-sep-2018	100.0
onion is an agricultural product that is usually cooked with lemon	1113	15-aug-2018	100.0
the home stadium of jamal_mayers is wrigley_field	1116	12-sep-2018	100.0
arkhangelsk is a city located in the geopolitical location russia	1113	15-aug-2018	93.8