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
postcapillary_venule is a part of the body	1111	06-jul-2018	91.5
em_poker_texaspoker is a sporting event	1111	06-jul-2018	100.0
aspen_engineering is an area of study within the field of machine learning	1111	06-jul-2018	100.0
wildwood_crest is a visualizable scene	1111	06-jul-2018	99.6
miramar_apartment is a hotel	1111	06-jul-2018	94.5
republican is a person who has residence in the geopolitical location nebraska	1116	12-sep-2018	100.0
kevin_dubrow is a musician who is part of quiet_riot	1113	15-aug-2018	100.0
tom_lehman belongs to the religion christian	1116	12-sep-2018	100.0
german is the language of the country u_s_	1116	12-sep-2018	100.0
joseph_stiglitz held the position of economist	1114	25-aug-2018	93.8