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
humberto_fuentes is a North American person	1111	06-jul-2018	91.3
contact_address is a website	1111	06-jul-2018	100.0
louis_daguerre is a visual artist	1111	06-jul-2018	100.0
mid_eastern_athletic_conference is a conference	1111	06-jul-2018	99.6
carolyn_martin is a politician	1111	06-jul-2018	100.0
abington_memorial is a hospital in the city philadelphia	1116	12-sep-2018	100.0
role is found in observatory	1111	06-jul-2018	98.4
triangle has shape interior_angles	1112	24-jul-2018	93.8
amy has husband john	1116	12-sep-2018	96.9
ed_norton starred in the movie hulk	1113	15-aug-2018	93.8