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
line_california is a visualizable object	1111	06-jul-2018	99.0
goodok_psp_video_converter is a consumer electronic device	1111	06-jul-2018	99.9
trang_ho is american	1111	06-jul-2018	91.6
dinner_shows is a baked good	1111	06-jul-2018	100.0
arteriovenous_fistula is an artery	1111	06-jul-2018	99.9
elliott_school is a sports team that plays in the league international	1116	12-sep-2018	99.8
the country britain uses the currency pounds	1116	12-sep-2018	100.0
saint has citizenship in the country hungary	1112	24-jul-2018	98.4
missouri is a state or province located in the geopolitical location us	1115	03-sep-2018	98.5
central was born in the city cambridge	1116	12-sep-2018	96.1