Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

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.

Recently-Learned Facts

instance	iteration	date learned	confidence
que_podemos is a currency	1111	06-jul-2018	99.9
one_s_picture is form of visual art	1111	06-jul-2018	97.5
planthoppers is an arthropod	1111	06-jul-2018	100.0
wrkz is a radio station	1111	06-jul-2018	96.9
michael_a_erdmann is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
public is an organization dissolved at the date april	1113	15-aug-2018	96.9
large_herds is a generalization of zebra	1111	06-jul-2018	99.8
cc_sabathia is an athlete who wins world_series	1115	03-sep-2018	100.0
shea is the home venue for the sports team new_york_mets	1116	12-sep-2018	100.0
sports is a generalization of country_skiing	1113	15-aug-2018	93.8