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
chin_meng is an Asian person	1111	06-jul-2018	99.9
amanda_griffin is a writer	1111	06-jul-2018	91.2
n1999_school_election is an election	1111	06-jul-2018	95.3
sternocleidomastoid_and_trapezius is a muscle	1111	06-jul-2018	99.6
em_poker_live_for_free is a board game	1111	06-jul-2018	93.6
beth_israel_deaconess is a hospital in the city boston	1116	12-sep-2018	93.8
son is the parent of yeshua	1115	03-sep-2018	96.9
ectoparasites feeds on lice	1111	06-jul-2018	96.9
keith has wife nicole	1116	12-sep-2018	96.9
charlie_savage is a journalist that writes for the publication times	1111	06-jul-2018	100.0