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
cincinnati_ is a visualizable scene	1111	06-jul-2018	99.6
employer_record is a political blog	1111	06-jul-2018	99.7
chief_justice_sears is a judge	1111	06-jul-2018	97.0
youtube is an agent	1111	06-jul-2018	100.0
language_this_article is a legislative bill	1111	06-jul-2018	91.5
tom_lehman is a person who has age nonneginteger:fifty	1116	12-sep-2018	100.0
cells is a subpart of the body within human_umbilical_cord	1111	06-jul-2018	96.9
ryan and ben_roethlisberger are teammates	1111	06-jul-2018	93.8
ashdod is a city also known as jerusalem	1112	24-jul-2018	93.8
kkbt is headquartered in the city los_angeles_ca	1116	12-sep-2018	100.0