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
food_stamps_software is a tool	1111	06-jul-2018	99.7
sialolithotomy is a medical procedure	1111	06-jul-2018	100.0
flat_lake is a trail	1111	06-jul-2018	100.0
spyder_kids_shoes is a kind of clothing	1111	06-jul-2018	100.0
movie_scooby_doo__and_the_legend_of_the_vampire is a movie	1111	06-jul-2018	100.0
wnet is a TV station in the city new_york	1116	12-sep-2018	100.0
national is a company that has an office in the country jordan	1114	25-aug-2018	100.0
state_children_s_health_insurance_program__schip is a synonym for chip	1111	06-jul-2018	93.8
the_catholic_university_of_america is a sports team that plays in the league international	1116	12-sep-2018	100.0
toronto_star is a newspaper in the city toronto	1116	12-sep-2018	100.0