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
anchor_bay_entertainment is a record label	1111	06-jul-2018	95.6
huffington_post is a TV network	1116	12-sep-2018	100.0
_230_00 is a year	1111	06-jul-2018	100.0
tissue_blocks is a musical instrument	1111	06-jul-2018	95.0
dead_comments is a product	1111	06-jul-2018	91.2
fowler_museum is a museum in the city los_angeles_ca	1116	12-sep-2018	96.9
lorenzo_barcelo plays the sport baseball	1116	12-sep-2018	93.8
santa_fe is the capital city of the state or province new_mexico	1116	12-sep-2018	100.0
u_s__postal_service is headquartered in the country us	1116	12-sep-2018	100.0
hbos terminated the employment of james_crosby	1113	15-aug-2018	100.0