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
n12562 is a ZIP code	1112	24-jul-2018	99.8
glenmore_inn is a place to ski	1111	06-jul-2018	90.1
grilled_onion is a vegetable	1111	06-jul-2018	90.4
princeton_student_film_video_festival is a film festival	1111	06-jul-2018	100.0
maarssen is a geopolitical entity that is a location	1111	06-jul-2018	96.5
paul001 is a person who graduated from the university institute	1114	25-aug-2018	100.0
the sport baseball was played at n1980_world_series	1116	12-sep-2018	100.0
john_carpenter directed the movie the_thing	1115	03-sep-2018	99.2
monkeys is an animal that preys on larger_animals	1112	24-jul-2018	100.0
triangle has shape line	1112	24-jul-2018	93.8