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
chess_success is an event outcome	1111	06-jul-2018	93.7
town_meeting is a perception action	1111	06-jul-2018	100.0
multi_instance_learning is an area of study within the field of machine learning	1112	24-jul-2018	99.9
contents_guide is a musical instrument	1111	06-jul-2018	95.2
rizal_monument is a monument	1111	06-jul-2018	99.9
twx is a company also known as time_warner	1114	25-aug-2018	100.0
the companies herald and la compete with eachother	1111	06-jul-2018	99.6
peace_corps is headquartered in the country u_s_	1116	12-sep-2018	99.6
dee_brown plays in the league nba	1116	12-sep-2018	100.0
the sport baseball was played at n1974_world_series	1116	12-sep-2018	100.0