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
florists is a profession	1111	06-jul-2018	97.1
gennadi_kolesnikov is an astronaut	1111	06-jul-2018	100.0
inconvenience_engineering is an area of study within the field of machine learning	1111	06-jul-2018	99.9
n1_65 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
n12_31 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
state_university is a sports team also known as usc	1111	06-jul-2018	93.8
hanoi is a city located in the country vietnam	1116	12-sep-2018	100.0
the companies youtube and new_york compete with eachother	1111	06-jul-2018	98.4
center is a role for players of football	1111	06-jul-2018	99.9
waga is headquartered in the city atlanta	1116	12-sep-2018	100.0