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
newton_community_farm is a farm	1111	06-jul-2018	99.9
common_many_tooth_snake is a reptile	1111	06-jul-2018	100.0
karen_williams is american	1111	06-jul-2018	92.5
bienville_house_hotel is a place to ski	1111	06-jul-2018	95.3
real_rock is a genre of music	1111	06-jul-2018	99.5
state_university is a sports team also known as san_francisco_state	1111	06-jul-2018	99.9
monroe_drive is a street in the city atlanta	1116	12-sep-2018	100.0
insects is a type of mammals	1114	25-aug-2018	100.0
the loosing score of super_bowl_xliii was nonneginteger:n23	1116	12-sep-2018	100.0
families is an animal that eats milk	1115	03-sep-2018	96.9