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
shane_williss is a professor	1111	06-jul-2018	91.3
tan_edge_treefrog is an amphibian	1111	06-jul-2018	100.0
mirror_number is a household item	1111	06-jul-2018	92.6
prescription_adipex_bontril is a muscle	1111	06-jul-2018	99.7
not_cias is a currency	1111	06-jul-2018	100.0
yves_saint_laurent is a person who died at the age of 71	1116	12-sep-2018	100.0
perennials is an agricultural product grown in region	1116	12-sep-2018	99.8
w__bush represents the region __america	1116	12-sep-2018	99.6
right_triangle has shape angle	1112	24-jul-2018	98.4
the coach rickey_henderson won the trophy or tournament world_series	1111	06-jul-2018	100.0