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
pangya__fantasy_golf is software	1112	24-jul-2018	100.0
after_sun_lotion is a personal care product	1111	06-jul-2018	99.3
verichron_clock is an item found on a wall	1111	06-jul-2018	99.5
denton_county_texas is a geopolitical entity that is a location	1111	06-jul-2018	92.1
desulfovibrio_vietnamensis is a bacterium	1111	06-jul-2018	100.0
eve is the mother of creation	1114	25-aug-2018	100.0
blue_note terminated the employment of alfred_lion	1112	24-jul-2018	100.0
harvey_araton is a journalist that writes for the publication new_york_times	1112	24-jul-2018	100.0
stella_restaurant is a restaurant in the city los_angeles_ca	1116	12-sep-2018	100.0
mt is a sate or province located in the country usa	1116	12-sep-2018	100.0