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
south_glamorgan is a county	1111	06-jul-2018	95.5
street_fighter_ii___special_champion_edition is a video game	1111	06-jul-2018	100.0
gaston_college is a sports team	1111	06-jul-2018	100.0
amberland_plaza is a skyscraper	1111	06-jul-2018	99.8
n2000_report is a physical characteristic	1111	06-jul-2018	100.0
english is the language of the country uk_	1116	12-sep-2018	100.0
ryan and ben_roethlisberger are teammates	1111	06-jul-2018	93.8
robert_wood_johnson_university is a hospital in the city new_brunswick	1116	12-sep-2018	100.0
common_carotid_artery arises from innominate_artery	1116	12-sep-2018	100.0
n160 is the number of people injured in the event aleppo_university_bombings	1116	12-sep-2018	100.0