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
yutz is a visualizable scene	1111	06-jul-2018	99.3
gravity_hills is a mountain range	1111	06-jul-2018	99.9
n0_20_percentage_points is a machine-learning algorithm	1111	06-jul-2018	98.9
taisen_net_gimmick__capcom___psikyo_all_stars is software	1111	06-jul-2018	100.0
bygibson_walter_poker is a cardgame	1111	06-jul-2018	91.8
the sports team new_england_patriots was the winner of super_bowl_xxxviii	1116	12-sep-2018	93.8
rays is a type of pelagics	1113	15-aug-2018	100.0
four_queens is a building located in the city las_vegas	1116	12-sep-2018	99.2
montana is a sate or province located in the country u_s_	1116	12-sep-2018	100.0
chicken is an animal that eats peanut	1115	03-sep-2018	100.0