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
ashland_community_college is a sports team	1111	06-jul-2018	100.0
n2002_06_19 is a date	1111	06-jul-2018	100.0
sharp_ribbed_salamander is an amphibian	1111	06-jul-2018	100.0
different_poker_texas is a board game	1111	06-jul-2018	100.0
candid_portraits is form of visual art	1111	06-jul-2018	99.3
music_history is an academic program at the university college	1115	03-sep-2018	100.0
tarantulas is a synonym for spiders	1111	06-jul-2018	93.8
grande_ronde empties into river snake_river	1116	12-sep-2018	100.0
alec_baldwin is an actor that worked with the director woody_allen	1114	25-aug-2018	100.0
tea is an agricultural product produced in iran	1116	12-sep-2018	93.8