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
zhou_feng is an Asian person	1111	06-jul-2018	99.9
the_san_saba_county_review is a website	1111	06-jul-2018	100.0
stonecutters__association_of_north_america is a trade union	1111	06-jul-2018	91.7
n70_degree_weather is a weather phenomenon	1111	06-jul-2018	99.9
parathyroid_hormone is a drug	1111	06-jul-2018	100.0
people_ is headquartered in the city new_york	1116	12-sep-2018	100.0
the coach andrew_raycroft won the trophy or tournament division	1115	03-sep-2018	100.0
shockers is a sports team that played in games	1111	06-jul-2018	93.8
stephen_labaton is a journalist that writes for the publication times	1112	24-jul-2018	98.4
nissan makes the automobile armada	1114	25-aug-2018	93.8