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
elm_lake is a lake	1111	06-jul-2018	100.0
signal_recordings is a record label	1111	06-jul-2018	97.3
leslie_newman is an Australian person	1111	06-jul-2018	100.0
cash_awards is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
yellow_daisies is a plant	1111	06-jul-2018	99.6
robert_wood_johnson_university is a hospital in the city new_brunswick	1116	12-sep-2018	100.0
dexter_filkins is a journalist that writes for the publication times	1111	06-jul-2018	100.0
royal_albert_hall is a stadium or event venue located in the city central_london	1116	12-sep-2018	93.8
jesse_helms is a person who has residence in the geopolitical location us	1115	03-sep-2018	100.0
bloomberg is a company headquartered in the city nueva_york	1116	12-sep-2018	100.0