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
battle_of_cumberland_gap is a military conflict	1111	06-jul-2018	100.0
auricular_muscles is a nerve	1111	06-jul-2018	97.1
high_test_gasoline is a refinery product	1112	24-jul-2018	98.2
quick_computer is an item found on a table	1111	06-jul-2018	99.9
warner_brother_s_entertainment is a record label	1111	06-jul-2018	99.4
national is a company that has an office in the country palestine	1114	25-aug-2018	96.9
toni_morrison contributed to the creative work beloved	1112	24-jul-2018	100.0
jimmy_winston is a musician who is part of small_faces	1115	03-sep-2018	93.8
bed is often found in suites	1111	06-jul-2018	100.0
serena_williams is an athlete who beat venus_williams	1114	25-aug-2018	100.0