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
america_awards is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
n7_8_pounds is a currency	1111	06-jul-2018	100.0
table_a_9 is an item often found in a bedroom	1111	06-jul-2018	99.9
miscellaneous_hotel_workers is a trade union	1111	06-jul-2018	92.2
gasoline_programs is a refinery product	1111	06-jul-2018	93.5
king_george has citizenship in the country greece	1112	24-jul-2018	93.8
the home stadium of jocelyn_thibault is wrigley_field	1116	12-sep-2018	100.0
carey_hart has wife pink	1116	12-sep-2018	100.0
h__pylori is a bacteria that causes ulcers	1115	03-sep-2018	99.8
bed is often found in lodge_rooms	1116	12-sep-2018	96.9