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
falkirk_town_centre is a skyscraper	1111	06-jul-2018	99.9
thinner_leaves is a vegetable	1111	06-jul-2018	93.9
pumpkin_cheesecake_recipes is a recipe	1111	06-jul-2018	99.8
bean_seed is a fruit	1111	06-jul-2018	100.0
timgad is a city	1111	06-jul-2018	99.8
mesa is the capital city of the state or province az	1116	12-sep-2018	100.0
senators is headquartered in the state or province new_york	1116	12-sep-2018	100.0
interest is a building located in the city las_vegas	1116	12-sep-2018	99.9
_google_ operates the website google_com	1116	12-sep-2018	100.0
joey_votto coaches the team reds	1116	12-sep-2018	93.8