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
jyllands_park_zoo is an aquarium	1111	06-jul-2018	100.0
stella_cilento is a visualizable scene	1111	06-jul-2018	99.7
wcju is a TV station	1111	06-jul-2018	99.1
cotail_sauce_nicaraguan_style_recipe is a recipe	1111	06-jul-2018	99.6
sausage_chunks is a type of meat	1111	06-jul-2018	99.0
washington_d_c_ hired joe_gibbs	1113	15-aug-2018	93.8
sydney_airport is a generalization of temple_of_the_reclining_buddha	1112	24-jul-2018	100.0
workers is a profession that is a kind of individuals	1114	25-aug-2018	93.8
vt is a sate or province located in the country usa	1116	12-sep-2018	100.0
plain_dealer is a newspaper in the city cleveland	1116	12-sep-2018	96.9