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
puzzle_picture is form of visual art	1111	06-jul-2018	98.1
n1953 is a date	1113	15-aug-2018	100.0
kansas_city_kansas_street_blues_festival is a music festival	1111	06-jul-2018	100.0
eastern_egyptian_bedawi_arabic is a language	1111	06-jul-2018	99.2
new_fallen_snow is software used by machine-learning scientists	1111	06-jul-2018	99.8
chest a muscle located in bodypart arms	1115	03-sep-2018	100.0
wmgt is a TV affiliate of the network nbc_news	1116	12-sep-2018	100.0
center is a role for players of football	1111	06-jul-2018	99.9
the companies chicago001 and post compete with eachother	1111	06-jul-2018	98.4
miller001 is a person who has attended the school state_university	1113	15-aug-2018	100.0