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
party_general_secretary is a kind of office held by a politician	1111	06-jul-2018	100.0
massachusetts_department_of_mental_retardation is a part of the government	1111	06-jul-2018	92.4
megaman_2__the_power_fighters is software	1112	24-jul-2018	100.0
tuesday_23_november is a date	1111	06-jul-2018	100.0
jeffrey_harris is an Australian person	1111	06-jul-2018	100.0
klcc is a radio station in the city eugene	1116	12-sep-2018	100.0
four is the number of people injured in the event three_killed_in_lebanese_suicide_bombing	1116	12-sep-2018	100.0
gabriel_wharf is a tourist attraction in the city central_london	1116	12-sep-2018	100.0
availability is a subpart of water	1111	06-jul-2018	99.6
b_muthuraman works for tata	1112	24-jul-2018	100.0