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
tp_farms is a farm	1111	06-jul-2018	99.8
n4_different_countries is a geopolitical entity that is a location	1111	06-jul-2018	92.4
contact_address is a website	1111	06-jul-2018	100.0
n1_18_sacker_sport_radio is an item often found in a bedroom	1111	06-jul-2018	99.9
spray_software is a tool	1111	06-jul-2018	99.7
english is the language of the country uk_	1116	12-sep-2018	100.0
prince has citizenship in the country prussia	1114	25-aug-2018	100.0
nick_faldo is an athlete who beat greg_norman_and_ted_robinson	1114	25-aug-2018	100.0
xml_feed_tweet_seattle_mariners is a sports team also known as indians	1113	15-aug-2018	100.0
easyjet is a company that has an office in the city toulouse	1112	24-jul-2018	93.8