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
sully_saint_germain_hotel is a tourist attraction	1111	06-jul-2018	94.3
motion_sickness_pills is an archaeon	1111	06-jul-2018	97.5
beef_ is a type of meat	1111	06-jul-2018	99.5
south_sandwich_islands can be a part of a landscape	1111	06-jul-2018	98.2
coffee_choices is an agricultural product	1111	06-jul-2018	99.7
the sport baseball was played at n1934_world_series	1116	12-sep-2018	100.0
henry001 has citizenship in the country saxony	1111	06-jul-2018	91.8
greg001 is a person who has attended the school college	1111	06-jul-2018	100.0
lewis graduated from state_university	1114	25-aug-2018	98.4
asdrubal_cabrera plays for the team indians	1116	12-sep-2018	96.9