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
un_climate_talks is a hobby	1111	06-jul-2018	99.9
maintenance_coordinator is a profession	1111	06-jul-2018	96.3
sheila_lee is a writer	1111	06-jul-2018	100.0
transformerscon is a convention	1111	06-jul-2018	99.8
financial_aid_grants is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
el_observador is a newspaper in the city san_francisco	1116	12-sep-2018	100.0
the companies herald_tribune and new_york compete with eachother	1111	06-jul-2018	100.0
kentucky is a company in the economic sector of insurance_policies	1113	15-aug-2018	93.8
thompson was born in the city orleans	1116	12-sep-2018	92.8
immigration_and_naturalization_service is headquartered in the country us	1116	12-sep-2018	96.9