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
proposed_meeting is a perception action	1111	06-jul-2018	93.5
river_kayaking is a sport	1111	06-jul-2018	99.9
furnished_guest_rooms is an office building room	1111	06-jul-2018	99.1
date_and_number_square_rubber_stamps is an office supply	1112	24-jul-2018	95.4
vividcon is a convention	1111	06-jul-2018	99.9

triceps a muscle located in bodypart upper_arm	1111	06-jul-2018	99.2
george_w_ is a U.S. politician who holds the office of governor	1114	25-aug-2018	96.9
windsor is a city located in the state or province vermont	1116	12-sep-2018	99.2
the sports team germany was the winner of semi	1116	12-sep-2018	99.2
steelers is a sports team also known as former_green_bay_packers	1113	15-aug-2018	100.0

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts