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
chicken_breast_ is a type of meat	1111	06-jul-2018	100.0
annie_lake is a lake	1111	06-jul-2018	100.0
mere_computer is an item found on a table	1111	06-jul-2018	100.0
class_view_parameters is a machine-learning conference	1112	24-jul-2018	98.5
the_kitsap_sun is a location	1111	06-jul-2018	97.8
current_tennessee_titans is an organization also known as ravens	1113	15-aug-2018	99.6
sega is related to nintendo_game_boy	1114	25-aug-2018	93.8
michael_moore directed the movie bowling_for_columbine	1115	03-sep-2018	93.8
heidelberg is a city that lies on the river yarra	1112	24-jul-2018	100.0
ford is a company that produces ford_expedition	1114	25-aug-2018	100.0