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
hardcore_thrash_metal is a genre of music	1111	06-jul-2018	98.6
battle_of_wisby is a military conflict	1111	06-jul-2018	100.0
april_30 is a time	1111	06-jul-2018	100.0
eca_countries is a country	1111	06-jul-2018	95.9
marvel__ultimate_alliance_2_fusion is software	1111	06-jul-2018	90.2

the coach champ_bailey won the trophy or tournament super_bowl	1115	03-sep-2018	100.0
bed is often found in standard	1114	25-aug-2018	100.0
jim_dwyer is a journalist that writes for the publication new_york_times	1113	15-aug-2018	100.0
black_pepper is an agricultural product that is usually cooked with potatoes	1114	25-aug-2018	99.2
toyota is a specific automobile maker dealer in kentucky	1115	03-sep-2018	95.6

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts