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
kitts___nevis is a country	1111	06-jul-2018	97.8
julie_hewitt is a professor	1111	06-jul-2018	91.1
lanxess_arena_los_angeles_memorial_sports_arena is a stadium or event venue	1111	06-jul-2018	100.0
three_national_elections is an election	1111	06-jul-2018	95.7
wincon is a convention	1111	06-jul-2018	99.9

mack_center is a stadium or event venue located in the city las_vegas	1116	12-sep-2018	99.5
royal_canadian_air_force is an organization known by the acronym rcaf	1112	24-jul-2018	93.8
alfonso_soriano is an athlete who led chicago_cubs	1116	12-sep-2018	98.4
the_times is a newspaper in the city central_london	1116	12-sep-2018	93.8
t_s__eliot was born in saint_louis	1116	12-sep-2018	100.0

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts