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
national_coordinator is a kind of office held by a politician	1111	06-jul-2018	100.0
table_placemat is an item found on a table	1111	06-jul-2018	99.6
mount_juneau is a mountain range	1111	06-jul-2018	99.9
chie_mihara_shoes is a kind of clothing	1111	06-jul-2018	100.0
muslim_magazine is a magazine	1111	06-jul-2018	99.8
sanjay_kumar is the CEO of ca	1116	12-sep-2018	98.4
bush_administration has been charged with war_crimes	1115	03-sep-2018	99.2
child is an animal that can develop fever	1112	24-jul-2018	98.4
mauldin_auditorium is a room in the building newell_simon_hall	1116	12-sep-2018	100.0
soccer is a sport with fans in the country korea	1116	12-sep-2018	99.8