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
second_degree_manslaughter ia a crime or charge	1111	06-jul-2018	100.0
united_farm_workers_ufw is a trade union	1111	06-jul-2018	90.7
foreskin_keratinocytes is a type of biological cell	1111	06-jul-2018	96.8
poker_texasholdem is a board game	1111	06-jul-2018	100.0
sierra_valley_district_hospital is a hospital	1111	06-jul-2018	100.0
dan_quayle is a U.S. politician endorsed by the U.S. politician bush	1112	24-jul-2018	98.4
aon is a company in the economic sector of insurance	1111	06-jul-2018	100.0
eve is the mother of man	1116	12-sep-2018	99.9
cainan_eight and enosh are family members	1113	15-aug-2018	93.8
easyjet is a company that has an office in the city central_london	1112	24-jul-2018	100.0