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
n1_65 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
covenant_meeting is a perception action	1111	06-jul-2018	94.9
canadian_islands can be a part of a landscape	1111	06-jul-2018	98.9
ventral_spinothalamic_fasciculus is a nerve	1111	06-jul-2018	97.2
aditi_govitrikar is an actor	1111	06-jul-2018	98.8
monkeys is an animal that preys on larger_animals	1112	24-jul-2018	100.0
beijing is a subpart of china	1111	06-jul-2018	99.8
safina is an athlete who wins french_open	1114	25-aug-2018	100.0
miguel_tejada held the position of shoe_shine_boy	1111	06-jul-2018	100.0
hockey is a sport played in the venue wachovia_center	1114	25-aug-2018	100.0