Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
florists is a profession	1111	06-jul-2018	97.1
party_of_democratic_action_of_croatia is a political party	1111	06-jul-2018	100.0
oakland_community_college_auburn_hills is a train station	1111	06-jul-2018	99.5
tower_palace_one is a skyscraper	1111	06-jul-2018	99.9
cayman_islands_flights is a park	1111	06-jul-2018	90.8

richard is a U.S. politician who holds the office of president	1116	12-sep-2018	100.0
lexus is a specific automobile maker dealer in virginia	1114	25-aug-2018	93.8
easyjet is a company that has an office in the city venice	1112	24-jul-2018	93.8
sheraton_san_diego is a hotel in the city san_diego	1116	12-sep-2018	93.8
persian is the language of the country india	1115	03-sep-2018	100.0

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts