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
phone_c is an item found on a table	1111	06-jul-2018	92.4
daniela_raizel is a fashion model	1111	06-jul-2018	100.0
spotted_ground_squirrel is an animal	1111	06-jul-2018	100.0
will_ohman is a North American person	1111	06-jul-2018	100.0
diversional_activities is a hobby	1111	06-jul-2018	99.6
aureole is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
spanish is a language taught in language schools in the city las_palmas_de_gran_canaria	1113	15-aug-2018	100.0
red_tank_top is a clothing item to go with pants	1111	06-jul-2018	100.0
forrest_dunn belongs to the religion episcopal	1116	12-sep-2018	100.0
andy_roddick is an athlete who beat roger_federer	1113	15-aug-2018	100.0