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
singing_frogs_farm is a farm	1111	06-jul-2018	99.8
western_kraft_employees_federal_credit_union is a credit union	1111	06-jul-2018	100.0
toby_keith is a musician	1111	06-jul-2018	99.7
cd_key is a visualizable attribute	1111	06-jul-2018	90.5
araneus_adiantus is an arachnid	1111	06-jul-2018	100.0

mike is a person who graduated from the university state_university	1115	03-sep-2018	90.8
news is headquartered in the city new_york	1116	12-sep-2018	100.0
dodger_stadium is the home venue for the sports team los_angeles_dodgers	1116	12-sep-2018	100.0
the sport baseball was played at first_world_series	1116	12-sep-2018	100.0
aomori is a city located in the country japan	1116	12-sep-2018	98.2

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts