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
uk_hardcore is a genre of music	1111	06-jul-2018	99.8
pinnacle_towers_tower_mooringsport is a skyscraper	1111	06-jul-2018	99.9
music_festival_booking_new_artist is a music festival	1111	06-jul-2018	100.0
atlanto_axial_joint is a bone	1113	15-aug-2018	97.4
christopher_jackson is a journalist	1111	06-jul-2018	100.0
felines is an animal that preys on cat	1113	15-aug-2018	99.2
maryland is a sate or province located in the country south_korea	1116	12-sep-2018	100.0
white_mountain_peak is related to north_america	1111	06-jul-2018	100.0
lemon is an agricultural product that is usually cooked with white_pepper	1113	15-aug-2018	96.9
richard_nolte belongs to the ethnic group american	1116	12-sep-2018	100.0