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
u_s__california is a geopolitical entity that is a location	1111	06-jul-2018	92.3
charles_harris is a Mexican person	1111	06-jul-2018	100.0
national_force is a terrorist organization	1111	06-jul-2018	99.8
responsive_computer is an item found on a table	1111	06-jul-2018	100.0
stanley_fletcher is a fashion model	1111	06-jul-2018	91.5
enid_blyton contributed to the creative work noddy	1113	15-aug-2018	96.9
phoenix_sky_harbor is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
rodham_clinton is a U.S. politician endorsed by the U.S. politician bill_clinton	1113	15-aug-2018	100.0
the coach chuck_knoblauch won the trophy or tournament division	1115	03-sep-2018	100.0
clive_davis001 is a person who has age nonneginteger:n76	1116	12-sep-2018	100.0