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
grayish_pygmy_rice_rat is a vertebrate	1112	24-jul-2018	100.0
district_6_representative is a kind of office held by a politician	1111	06-jul-2018	100.0
portable_game_console is a video game system	1111	06-jul-2018	96.3
special_corn is a grain	1111	06-jul-2018	91.6
visayan_islands can be a part of a landscape	1111	06-jul-2018	99.5

sony is related to ps2	1115	03-sep-2018	100.0
nate_mclouth is an athlete who led pirates	1116	12-sep-2018	100.0
salmon is a fish that can be served with the food green_salad in a meal (or dish)	1116	12-sep-2018	93.8
katrina001 is a person who has residence in the city columbia	1115	03-sep-2018	93.8
georgia hired richt	1111	06-jul-2018	99.6

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts