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
n24_32 is a term used by physicists	1111	06-jul-2018	100.0
the_campbell_brothers is a musical artist	1111	06-jul-2018	98.2
orange_chrome is a color	1111	06-jul-2018	99.9
m_resort_spa_casino is a stadium or event venue	1111	06-jul-2018	93.8
resulting_mold is a fungus	1111	06-jul-2018	95.3
maine is a sate or province located in the country usa	1116	12-sep-2018	100.0
tao_restaurant is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
spiders is an arthropod as well as widow also is	1111	06-jul-2018	100.0
the home stadium of brent_sopel is wrigley_field	1116	12-sep-2018	100.0
kbtx_tv is a TV affiliate of the network cbs_evening_news	1116	12-sep-2018	100.0