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
hotel_india is a hotel	1111	06-jul-2018	98.3
teng_hiok_chiu is a visual artist	1111	06-jul-2018	92.9
dual_credit_students is a victim	1111	06-jul-2018	100.0
donald_miller is a criminal	1111	06-jul-2018	100.0
natural_light_photography is form of visual art	1111	06-jul-2018	99.1
president_jimmy_carter is a politician who holds the office of assistant_secretary	1115	03-sep-2018	96.9
the final score of the sports game final_game was gamescore:n0_15	1116	12-sep-2018	100.0
deadly_weapon is a generalization of nuclear_missile	1111	06-jul-2018	100.0
jack_nicklaus_and_pete_dye is an athlete who beat legendary_arnold_palmer	1114	25-aug-2018	100.0
saul has citizenship in the country israel	1114	25-aug-2018	100.0