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
stellate_venule is a vein	1111	06-jul-2018	95.0
earnest_byner is an athlete	1111	06-jul-2018	96.0
mifflinburg_buggy_museum is a museum	1111	06-jul-2018	100.0
odfjell is a company	1111	06-jul-2018	90.1
dolex_21 is a non-sports, non-electronic game	1111	06-jul-2018	94.1
arizona_senator is a person who has age nonneginteger:n72	1116	12-sep-2018	100.0
braylon_edwards and end_kellen_winslow are teammates	1111	06-jul-2018	93.8
ravens hired brian_billick	1113	15-aug-2018	100.0
eisenhower represents the region us	1115	03-sep-2018	99.9
top is found in volcano	1112	24-jul-2018	100.0