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
lobsterfest is a music festival	1111	06-jul-2018	100.0
white_sulphur_springs_montana is an island	1111	06-jul-2018	96.7
therapy_physical_therapy is an academic field	1111	06-jul-2018	100.0
harsh_breeze is a weather phenomenon	1111	06-jul-2018	98.7
karen_williams is american	1111	06-jul-2018	92.5
spider_mites is a type of bugs	1111	06-jul-2018	99.7
richard_m__daley is a person who has residence in the geopolitical location chicago_south	1112	24-jul-2018	100.0
baker_berry_library is related to dartmouth	1116	12-sep-2018	100.0
tuiasosopo and luis_valbuena are teammates	1111	06-jul-2018	93.8
arizona_senator is a person who has age nonneginteger:n72	1116	12-sep-2018	100.0