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
rivoli_restaurant is a restaurant	1111	06-jul-2018	100.0
paddington_train_station is a skyscraper	1111	06-jul-2018	100.0
vila_velha is a visualizable scene	1111	06-jul-2018	99.1
tropical_pineapple_rum_cake is a baked good	1111	06-jul-2018	100.0
important_advisor is a profession	1111	06-jul-2018	96.5
william_friedkin directed the movie exorcist	1112	24-jul-2018	93.8
more_water is a beverage made from juice	1114	25-aug-2018	100.0
peachtree_road is a street in the city atlanta	1116	12-sep-2018	100.0
gore_vidal contributed to the creative work myra_breckinridge	1113	15-aug-2018	100.0
kyra_sedgwick has husband kevin_bacon	1116	12-sep-2018	98.4