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
gil_hanse is an athlete	1111	06-jul-2018	97.3
full_cream_milk is a condiment	1111	06-jul-2018	99.9
minute_picture is form of visual art	1111	06-jul-2018	97.9
gold_diamond_weight is a visualizable attribute	1111	06-jul-2018	100.0
middle_school_language_arts_teacher is a political issue	1111	06-jul-2018	99.8
joseph represents the region states	1115	03-sep-2018	93.8
budapest is the capital city of the country hungary	1116	12-sep-2018	96.9
shaq_o_neal is an athlete also known as shaquille_oneal	1116	12-sep-2018	100.0
salesforce__com terminated the employment of marc_benioff	1114	25-aug-2018	100.0
kunm is a radio station in the city albuquerque	1116	12-sep-2018	100.0