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
aderidae is an insect	1111	06-jul-2018	100.0
bayberry_road is a street	1111	06-jul-2018	100.0
housatonic_river_railroad_bridge is a bridge	1111	06-jul-2018	98.0
the_whiteville_news_reporter is a political blog	1111	06-jul-2018	99.5
ajl308_clock is an item often found in a bedroom	1111	06-jul-2018	100.0
motorola was responsible for moto_e_price__specs__release_date__features___89_smartphone_set_to__end_feature_phones_	1114	25-aug-2018	100.0
lamech is the father of noah	1116	12-sep-2018	100.0
projector looks like dvd	1111	06-jul-2018	93.8
president_obama and michelle_obama are family members	1112	24-jul-2018	93.8
lukla is a city that lies on the river dudh_kosi	1111	06-jul-2018	93.8