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
stephanie_black is a director	1111	06-jul-2018	91.9
psp_22_playstation_portable_console is a video game system	1111	06-jul-2018	94.3
acne_home is a location	1113	15-aug-2018	99.6
kurumba is an ethnic group	1111	06-jul-2018	96.3
david_nicholson is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
the sports team new_york_mets was the winner of nlcs	1116	12-sep-2018	100.0
republic is a country also known as yugoslav_federation	1111	06-jul-2018	99.6
bedroom is often found in site	1116	12-sep-2018	99.8
mgm_grand is a tourist attraction in the city las_vegas	1116	12-sep-2018	100.0
eve is the parent of creation	1111	06-jul-2018	100.0