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
carey_lake is a trail	1111	06-jul-2018	100.0
fuzzy_clustering is an area of study within the field of machine learning	1111	06-jul-2018	100.0
hugh_jackman_winchester is a city	1111	06-jul-2018	99.8
fort_de_france is a visualizable scene	1111	06-jul-2018	100.0
n2_ethoxyethanol is a chemical	1111	06-jul-2018	100.0

los_angeles_ca is a city also known as la	1111	06-jul-2018	100.0
cascade_mountain is a mountain in the state or province washington	1116	12-sep-2018	98.4
stephen_labaton is a journalist that writes for the publication times	1112	24-jul-2018	98.4
national is a company that has an office in the country panama	1114	25-aug-2018	100.0
national_maritime_museum is a museum in the city central_london	1116	12-sep-2018	98.4

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts