Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
maguey_leaves is a vegetable	1111	06-jul-2018	93.3
alfred_lescott is a monarch	1111	06-jul-2018	97.0
jeep_grand_cherokee_limited_4wd_hemi is a kind of vehicle	1111	06-jul-2018	99.9
designer_baking_cups is an item found in the kitchen	1111	06-jul-2018	99.2
original_orange is a color	1111	06-jul-2018	100.0

bus is a transportation system located in the city portland	1116	12-sep-2018	100.0
manuel_g_ttsching is a musician who is part of ash_ra_tempel	1111	06-jul-2018	93.8
santonio_holmes is an athlete who wins super_bowl	1116	12-sep-2018	100.0
the loosing score of super_bowl_xxxvii was nonneginteger:n21	1116	12-sep-2018	100.0
fort_wayne_pistons is a sports team that won the nba_finals	1115	03-sep-2018	95.6

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts