Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
hot_process_soap is a personal care product	1111	06-jul-2018	99.7
california_landscape_contractors_association is a non-profit organization	1111	06-jul-2018	99.2
malika_bean is a legume	1111	06-jul-2018	97.9
little_league_field is a stadium or event venue	1111	06-jul-2018	100.0
wildwood_crest is a visualizable scene	1111	06-jul-2018	99.6

super_bowl_xxxvii is a sports game that took place on the date n2002	1116	12-sep-2018	100.0
jerry is a person who graduated from the university college	1112	24-jul-2018	100.0
chevrolet is a company that produces impala	1114	25-aug-2018	100.0
ron_artest is an athlete who led chicago_bulls	1116	12-sep-2018	100.0
arthropods is a type of spiders	1111	06-jul-2018	97.7

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts