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
movie_rose_red is a movie	1111	06-jul-2018	100.0
n2012_ford_taurus is a model of automobile	1111	06-jul-2018	97.9
michigan_department_of_corrections is a part of the government	1111	06-jul-2018	100.0
amy_jarvis is a North American person	1111	06-jul-2018	91.3
open_car_door is an item often found in a hallway	1111	06-jul-2018	99.7
paris_orly_airport is an airport in the city paris	1116	12-sep-2018	93.8
motorola is a company that has an office in the country usa	1114	25-aug-2018	100.0
north_carolina is a sate or province located in the country us	1116	12-sep-2018	100.0
microsoft_office_user_specialist is a synonym for microsoft_corporation001	1111	06-jul-2018	93.8
alan_mulally is a top member of ford	1116	12-sep-2018	100.0