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
ael_arena is a stadium or event venue	1111	06-jul-2018	100.0
camp_responsive_element_binding_protein_3_like_2 is a protein	1111	06-jul-2018	100.0
adjacent_lines is a geometric shape	1111	06-jul-2018	97.4
ashland_community_college is a sports team	1111	06-jul-2018	100.0
john_paxton is a visual artist	1111	06-jul-2018	100.0
the companies fastcompany and journal compete with eachother	1111	06-jul-2018	93.8
ravens hired brian_billick	1113	15-aug-2018	100.0
willam_anderson is a person who has residence in the country us	1115	03-sep-2018	100.0
shower is often found in plan_bathroom	1111	06-jul-2018	98.4
international_monetary_fund is an organization created at the date n1944	1115	03-sep-2018	100.0