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
hold_poker_rule_texas is a non-sports, non-electronic game	1111	06-jul-2018	100.0
kbom_stomp_off_records is a record label	1111	06-jul-2018	98.8
pedro_feliciano is a Mexican person	1111	06-jul-2018	100.0
lancaster_county is an airport	1112	24-jul-2018	100.0
broadcast_and_production_brasil_magazine is a magazine	1111	06-jul-2018	99.8
washington is taller than million_people	1116	12-sep-2018	99.4
david_brooks is a journalist that writes for the publication times	1111	06-jul-2018	93.8
nissan is a specific automobile maker dealer in garland	1114	25-aug-2018	100.0
the loosing score of n2002_stanley_cup was nonneginteger:n1	1116	12-sep-2018	100.0
downtown_marriott_hotel is a hotel in the city los_angeles_ca	1116	12-sep-2018	100.0