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
architectural_woodwork_manufacturers_association is a non-profit organization	1111	06-jul-2018	98.7
foreign_chemical is an archaeon	1111	06-jul-2018	90.4
john_m__eckert is an African person	1111	06-jul-2018	100.0
alghero_fertilia_airport is a transportation system	1111	06-jul-2018	100.0
phi_phi_group is a geopolitical entity that is a location	1111	06-jul-2018	92.4
tommy_ramone is a musician who is part of ramones	1112	24-jul-2018	93.8
sherwood_drive is a street in the city augusta	1116	12-sep-2018	99.2
the sports leage nascar uses the venue daytona_international_speedway	1114	25-aug-2018	100.0
baseball is a sport played in the venue rfk_stadium	1114	25-aug-2018	100.0
the companies journal_newspapers and new_york_times compete with eachother	1111	06-jul-2018	93.8