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
gravenhage is a visualizable scene	1111	06-jul-2018	99.6
congressional_representative is a kind of office held by a politician	1111	06-jul-2018	100.0
cleaning_phase is a non-disease physiological condition	1111	06-jul-2018	97.3
alfred_zacharias is a monarch	1111	06-jul-2018	96.5
period_publications is a kind of media	1111	06-jul-2018	99.4
the sports team pirates was the winner of series	1116	12-sep-2018	100.0
st__louis_cardinals is an organization known by the acronym louis_cardinals	1115	03-sep-2018	100.0
the home stadium of chris_chelios is wrigley_field	1116	12-sep-2018	100.0
the sports leage nba uses the venue us_airways_center	1114	25-aug-2018	100.0
gabrielle has spouse john	1116	12-sep-2018	93.8