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
cannes_film_festival_2002 is a film festival	1111	06-jul-2018	100.0
nevada_afl_cio is a trade union	1112	24-jul-2018	94.0
_08__09 is a year	1111	06-jul-2018	100.0
julie_hewitt is a professor	1111	06-jul-2018	91.1
daniela_bochmacova is a fashion model	1111	06-jul-2018	100.0
end is an event at the location service	1113	15-aug-2018	93.8
the sports team new_york_mets was the winner of n1969_world_series	1116	12-sep-2018	100.0
nissan is a specific automobile maker dealer in maryland	1114	25-aug-2018	96.9
paul_simonon is a musician who is part of clash	1111	06-jul-2018	100.0
buttonwood_park_zoo is an aquarium in the city new_bedford	1116	12-sep-2018	100.0