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
cannes_film_festival_2002 is a film festival	1111	06-jul-2018	100.0
ryan_conroy is an Australian person	1111	06-jul-2018	98.0
haloferax_sp__50c21_6 is an archaeon	1111	06-jul-2018	100.0
chico_area is a building	1111	06-jul-2018	95.3
flat_sixteen_engine is a kind of automobile engine	1111	06-jul-2018	100.0
indiana is a sate or province located in the country usa	1116	12-sep-2018	100.0
pulses is related to india	1115	03-sep-2018	100.0
doors is a building feature made from the building material large_aluminum	1111	06-jul-2018	93.8
riverside is a city located in the geopolitical location ca	1111	06-jul-2018	99.3
digital looks like box	1114	25-aug-2018	93.8