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
parapsicologia is a wine	1111	06-jul-2018	92.5
paper_card is an item found on a wall	1111	06-jul-2018	99.9
steve_buell is a North American person	1111	06-jul-2018	91.4
class_ladies is a machine-learning conference	1111	06-jul-2018	94.4
books_the_world is an aquarium	1111	06-jul-2018	100.0
faro_airport is a generalization of temple_of_the_reclining_buddha	1113	15-aug-2018	100.0
the companies nbc__s_today_show and new_york compete with eachother	1111	06-jul-2018	98.4
ahman_green plays in the league nfl	1116	12-sep-2018	100.0
tram_lines is a transportation system located in the city paris	1116	12-sep-2018	100.0
beds is often found in casita	1111	06-jul-2018	100.0