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
n2003_national_league_division_series is a sports game	1111	06-jul-2018	100.0
n0_55 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
west_ham_cemetery is a place of worship	1111	06-jul-2018	99.9
armstrong_street is a street	1111	06-jul-2018	100.0
alicia_machado is a Mexican person	1111	06-jul-2018	96.9
lupron is a drug worked on by abbot_laboratories	1114	25-aug-2018	98.4
the sport baseball was played at n1996_world_series	1116	12-sep-2018	100.0
emile_lahoud belongs to the religion christian	1116	12-sep-2018	100.0
moses and samuel are siblings	1112	24-jul-2018	93.8
mary_mcgrory is a journalist that writes for the publication washington	1113	15-aug-2018	93.8