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
n1995_school_election is an election	1111	06-jul-2018	95.2
stuart_russell is a professor	1111	06-jul-2018	90.9
wang_yuan_long is an Asian person	1111	06-jul-2018	99.9
n61_57_victory is an event outcome	1111	06-jul-2018	93.0
lesser_snow_goose is an animal	1111	06-jul-2018	91.4
w__bush represents the region __america	1116	12-sep-2018	99.6
biceps a muscle located in bodypart arms	1115	03-sep-2018	100.0
the sport baseball was played at n1970_world_series	1116	12-sep-2018	100.0
times is a company that has an office in the city san_francisco	1112	24-jul-2018	99.8
ravens is a sports team that played in playoffs	1113	15-aug-2018	99.7