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
early_county is an airport	1111	06-jul-2018	100.0
econo_lodge_jefferson_city is a hotel	1111	06-jul-2018	94.7
harold_brodkey is a writer	1111	06-jul-2018	97.9
post_office_employees__credit_union is a credit union	1111	06-jul-2018	100.0
susan_warner is a female	1111	06-jul-2018	100.0
frank_burton was born in the country mexico	1116	12-sep-2018	100.0
kawada is a hotel in the city los_angeles_ca	1116	12-sep-2018	100.0
el_mensajero is a newspaper in the city san_francisco	1116	12-sep-2018	100.0
h__pylori is a bacteria that causes gastritis	1115	03-sep-2018	93.8
large_herds refers to more than one horses	1111	06-jul-2018	100.0