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
scotland_area is a monument	1111	06-jul-2018	100.0
trofeo_rdp_algarve is a sporting event	1111	06-jul-2018	100.0
pittsburg_county_district_court is a part of the government	1111	06-jul-2018	100.0
melanie_chisholm is a Canadian person	1111	06-jul-2018	91.2
greenish_black_mold is a fungus	1112	24-jul-2018	92.3
kyra_sedgwick has husband kevin_bacon	1116	12-sep-2018	98.4
baseball is a sport played in the venue county_stadium	1114	25-aug-2018	100.0
tedy_bruschi is an athlete who led new_england_patriots	1116	12-sep-2018	93.8
sen__john_mccain is a U.S. politician endorsed by the U.S. politician gov__sarah_palin	1113	15-aug-2018	100.0
ramon_santiago held the position of infielder	1115	03-sep-2018	100.0