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
n10_11_33 is a term used by physicists	1111	06-jul-2018	96.3
jimmy_wynn is a U.S. politician	1111	06-jul-2018	99.9
delightful_sitting_room is a kind of room	1111	06-jul-2018	99.7
sergio_romo is a Mexican person	1111	06-jul-2018	99.9
musee_des_beaux_arts_de_rennes is a museum	1111	06-jul-2018	100.0
the coach byron_scott won the trophy or tournament super_bowl	1114	25-aug-2018	100.0
republic is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	96.9
stove is often found in kitchenette	1111	06-jul-2018	99.6
eve is the parent of creation	1111	06-jul-2018	100.0
new_england_patriots is a sports team that plays the sport football	1116	12-sep-2018	100.0