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
david_cannell is a commedian	1111	06-jul-2018	90.7
hattersheim is a city	1111	06-jul-2018	99.9
for_the_love_of_you is a song	1111	06-jul-2018	100.0
padded_glove is sports equipment	1111	06-jul-2018	97.7
modern_outdoor_furniture is a kind of furniture	1111	06-jul-2018	99.5
polar_bear has color white	1116	12-sep-2018	100.0
at_t_center is a stadium or event venue located in the city san_antonio	1116	12-sep-2018	93.8
the home stadium of nikolai_khabibulin is wrigley_field	1116	12-sep-2018	100.0
the companies the_los_angeles_times_book_review and new_york compete with eachother	1111	06-jul-2018	98.4
johannes_brahms is a person born on the date n1833	1116	12-sep-2018	100.0