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
robert_perez is a criminal	1111	06-jul-2018	100.0
gothic_clock is an item found on a wall	1111	06-jul-2018	99.5
zino_davidoff ia a celebrity	1111	06-jul-2018	90.7
national_environmental_training_association is a professional organization	1111	06-jul-2018	100.0
itagu_aacute is a South American person	1111	06-jul-2018	93.2
mitsubishi is a specific automobile maker dealer in canada	1116	12-sep-2018	100.0
national is a bank that bought andhra_bank	1114	25-aug-2018	100.0
steve_jobs works in the economic sector computer_hardware	1115	03-sep-2018	100.0
air_pacific is a company that has an office in the city los_angeles_ca	1112	24-jul-2018	99.2
derek_fisher coaches in the league nba	1116	12-sep-2018	100.0