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
section_7_2 is a legislative bill	1111	06-jul-2018	100.0
jennifer_finnegan is a chef	1111	06-jul-2018	99.9
pound_lira is a currency	1111	06-jul-2018	99.7
tangled_nest_spider is an arachnid	1112	24-jul-2018	100.0
agile_kangaroo_rat is a mammal	1111	06-jul-2018	100.0
antonio_villaraigosa is a person who has residence in the geopolitical location los_angeles_ca	1112	24-jul-2018	100.0
jeremy has wife jessica	1116	12-sep-2018	96.9
international_steel_group is headquartered in the state or province ohio	1116	12-sep-2018	100.0
rsa_in_the_real_world is part of scs_faculty_candidate	1116	12-sep-2018	100.0
leo_maguire died in the country great_britain	1116	12-sep-2018	100.0