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
party_dla_progress_of_gwinea_r_wnikowa_or_ppge is a political party	1111	06-jul-2018	100.0
mitchell_hoop_magazine is a magazine	1111	06-jul-2018	99.9
chief_staff_attorney is a kind of office held by a politician	1111	06-jul-2018	100.0
stephanie_wilkins is an actor	1111	06-jul-2018	91.4
n07_ is a year	1111	06-jul-2018	100.0
freddy_garcia plays the sport baseball	1116	12-sep-2018	96.9
seattle_seahawks_21_10 is an organization also known as steelers	1113	15-aug-2018	93.8
goran_ivanisevic is an athlete who beat agassi	1114	25-aug-2018	100.0
european_nations is a generalization of finland	1115	03-sep-2018	96.9
baseball_players is a generalization of jackie_robinson	1115	03-sep-2018	100.0