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
danville_weekly is a newspaper	1111	06-jul-2018	100.0
nickel_plated_steel is a building material	1111	06-jul-2018	99.6
canada_fda_approved_drugs is a country	1111	06-jul-2018	97.9
movie_finding_neverland is a movie	1111	06-jul-2018	100.0
u_s__congress is a part of the government	1111	06-jul-2018	100.0
morgan_freeman is an actor that worked with the director clint_eastwood	1115	03-sep-2018	100.0
sega is related to sega_master_system	1114	25-aug-2018	96.9
more_water is a beverage made from juice	1114	25-aug-2018	100.0
kobe_bryant is a person who has age 30	1116	12-sep-2018	100.0
raptors participated in the event games	1111	06-jul-2018	100.0