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
abra_chouinard is a Canadian person	1111	06-jul-2018	95.7
shortribs is a visualizable thing	1111	06-jul-2018	97.5
movie_ken_park is a movie	1111	06-jul-2018	100.0
congress_party_for_malagasy_independence is a political party	1111	06-jul-2018	100.0
fast_home is a location	1114	25-aug-2018	99.5

city_hall was born in the city copenhagen	1116	12-sep-2018	93.8
kannada is the language of the country india	1115	03-sep-2018	100.0
baseball is a sport played in the venue phoenix_municipal_stadium	1115	03-sep-2018	100.0
former_green_bay_packers is a sports team that played in super_bowl	1113	15-aug-2018	100.0
spagnuolo works for saint_louis	1111	06-jul-2018	99.2

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts