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
medieval_dining_room is a kind of room	1111	06-jul-2018	99.5
glass_backdrop is a household item	1111	06-jul-2018	93.8
islamic_human_rights_commission is a terrorist organization	1111	06-jul-2018	99.8
kurumba is an ethnic group	1111	06-jul-2018	96.3
bmx_freestyle___racing is a sport	1111	06-jul-2018	100.0
english is a language used in the university bombay_university	1112	24-jul-2018	93.8
komo_tv is a TV station in the city seattle	1116	12-sep-2018	99.9
bed is often found in one_bedroom_cabins	1111	06-jul-2018	96.9
the home stadium of andrew_shaw is wrigley_field	1116	12-sep-2018	100.0
the country italy uses the currency euros	1116	12-sep-2018	99.8