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
__years is a sports game	1111	06-jul-2018	100.0
jarrod_dyson is a Mexican person	1111	06-jul-2018	100.0
greater_caddo_lake_association is a professional organization	1111	06-jul-2018	90.2
manuel_chaves is a South American person	1111	06-jul-2018	98.4
left_heart is a part of the body	1111	06-jul-2018	100.0
stephen has citizenship in the country hungary	1112	24-jul-2018	100.0
screen looks like n3_5	1111	06-jul-2018	100.0
barry_zito plays for the team eventual_super_bowl_champion_new_york_giants	1116	12-sep-2018	100.0
arunachal_pradesh is a sate or province located in the country india	1116	12-sep-2018	99.2
nissan is a specific automobile maker dealer in _uk	1116	12-sep-2018	100.0