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
lucila_duchesne is a Canadian person	1111	06-jul-2018	94.0
oil_glands can be a part of a landscape	1111	06-jul-2018	98.5
sensory_neuropathy is a physiological condition	1111	06-jul-2018	100.0
driver_s_side_window is an item found on a wall	1111	06-jul-2018	99.6
line_tape is a visualizable attribute	1111	06-jul-2018	100.0
lexus is a specific automobile maker dealer in dallas	1114	25-aug-2018	100.0
management is an academic program at the university state_university	1114	25-aug-2018	100.0
wallace graduated from college	1112	24-jul-2018	96.9
globe is a newspaper in the city new_york	1116	12-sep-2018	100.0
whale is a type of marine_mammals	1116	12-sep-2018	99.9