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
n1914 is a date	1112	24-jul-2018	95.4
widespread_recipe is a recipe	1111	06-jul-2018	99.7
amateur_film_festival_competition is a film festival	1111	06-jul-2018	100.0
barbara_walker is an African person	1111	06-jul-2018	99.9
northwestern_magazine is a magazine	1111	06-jul-2018	99.8
alexander_ii has citizenship in the country russia	1113	15-aug-2018	93.8
jonas_salk is a person who died on the date n1995	1116	12-sep-2018	100.0
spanish_language is a language taught in language schools in the city san_miguel	1112	24-jul-2018	100.0
weapons is a type of weapon produced in american_cities	1113	15-aug-2018	99.4
n70 is the number of people injured in the event bomb_kills_20_at_pakistan_vegetable_market	1116	12-sep-2018	100.0