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
pietersburg_airport is a visualizable scene	1111	06-jul-2018	100.0
carlisle_castle is a place of worship	1111	06-jul-2018	97.3
manuel_coelho_dos_santos is a South American person	1111	06-jul-2018	95.4
central_georgia_technical_college_milledgeville is a train station	1111	06-jul-2018	99.7
zoo_hoyerswerda is a zoo	1111	06-jul-2018	99.8
john_paxson coaches in the league nba	1116	12-sep-2018	100.0
products001 is a product produced in korea	1116	12-sep-2018	93.8
paul_lee is a top member of abc_news	1116	12-sep-2018	93.8
hines_ward plays the athletic team position player	1113	15-aug-2018	93.8
timothy_harris held the position of vice_president	1115	03-sep-2018	100.0