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
al_leiter is an athlete	1111	06-jul-2018	100.0
goodok_psp_video_converter is a consumer electronic device	1111	06-jul-2018	99.9
room_home is a stadium or event venue	1111	06-jul-2018	100.0
jamaica___saint_ann is a country	1111	06-jul-2018	96.9
monterey_vineyard is a winery	1111	06-jul-2018	100.0
andrew_luck is an athlete that played for the team of school stanford	1111	06-jul-2018	100.0
the country greece uses the currency euros	1116	12-sep-2018	100.0
the sports leage ncaa uses the venue lavell_edwards_stadium	1112	24-jul-2018	100.0
irving_azoff is the CEO of giant	1116	12-sep-2018	96.9
scope is a stadium or event venue located in the city norfolk	1116	12-sep-2018	98.4