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
cape_girardeau_hotels is a park	1111	06-jul-2018	90.8
fresh_pokertexas is a board game	1111	06-jul-2018	100.0
full_finished_basement is a kind of room	1111	06-jul-2018	90.8
movie_cells is a type of biological cell	1111	06-jul-2018	96.3
n10_29 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
ios_apps competes with the company responsible for nokia_lumia_525_vs__lumia_720_specs_and_price_comparison_in_australia	1114	25-aug-2018	100.0
pests is a type of spiders	1111	06-jul-2018	100.0
dodge is a specific automobile maker dealer in canada	1116	12-sep-2018	100.0
simeon and reuben are siblings	1113	15-aug-2018	93.8
system_operator is a subpart of water	1111	06-jul-2018	98.4