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
bathtub_accessories is an item often found in a bathroom	1111	06-jul-2018	99.8
super_robot_wars_3 is software	1112	24-jul-2018	100.0
n4_different_countries is a geopolitical entity that is a location	1111	06-jul-2018	92.4
n6_05_pm_0_comments is a dataset used within the scientific field of machine learning	1111	06-jul-2018	90.7
actor_software is a tool	1111	06-jul-2018	99.3
notting_hill is a park in the city central_london	1116	12-sep-2018	100.0
north_carolina is a sate or province located in the country us	1116	12-sep-2018	100.0
pests is a type of raccoons	1112	24-jul-2018	94.0
danny_boyle contributed to the creative work slumdog_millionaire	1111	06-jul-2018	99.3
punta_gorda_town is a city that lies on the river peace	1113	15-aug-2018	100.0