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
scientific_report is a physical characteristic	1111	06-jul-2018	100.0
st_sophia_cathedral is a place of worship	1111	06-jul-2018	100.0
phone_ringtone_samsung_verizon is an item found on a table	1111	06-jul-2018	99.7
robert_holtzman is a fashion model	1111	06-jul-2018	100.0
quaker_state is an organization	1113	15-aug-2018	100.0
andrei_kirilenko is an athlete who led new_orleans_jazz	1116	12-sep-2018	100.0
dwayne_bowe and tony_gonzalez are teammates	1111	06-jul-2018	93.8
god is taller than children	1116	12-sep-2018	100.0
states is a state or province located in the geopolitical location nine_countries	1111	06-jul-2018	93.8
nonneginteger:n26 was the winning score in n2006_orange_bowl	1116	12-sep-2018	100.0