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
juan_beniquez is an athlete	1111	06-jul-2018	100.0
investment_amount is an economic sector	1111	06-jul-2018	99.9
ford_aspire_distributor is a model of automobile	1111	06-jul-2018	98.7
psycho_soldier is a video game	1111	06-jul-2018	92.7
grand_prix_triberg_schwarzwald is a sporting event	1111	06-jul-2018	100.0
inquirer is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	93.8
michael_moore directed the movie bowling_for_columbine	1115	03-sep-2018	93.8
european_nations is a generalization of netherlands	1115	03-sep-2018	99.2
english is the language of the country us	1115	03-sep-2018	100.0
royal_albert_hall is a stadium or event venue located in the city central_london	1116	12-sep-2018	93.8