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
_860 is a year	1111	06-jul-2018	100.0
itg_journal is a newspaper	1111	06-jul-2018	90.6
serving_plate is an item found on a table	1111	06-jul-2018	99.9
meadowbrook_parkway_north is a highway	1111	06-jul-2018	93.0
how_to_critique_a_museum is a museum	1111	06-jul-2018	100.0
workers is a profession that is a kind of individuals	1114	25-aug-2018	93.8
crabs is a type of crustaceans	1115	03-sep-2018	100.0
christian has spouse kent	1116	12-sep-2018	93.8
triangle has shape vertex	1112	24-jul-2018	99.8
stockpiles is a type of weapon produced in russia	1113	15-aug-2018	96.9