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
bayern___rundfahrt___tour_de_bavi_re is a sports race	1111	06-jul-2018	100.0
detroit_news_online is a blog	1111	06-jul-2018	99.9
tracy_garrett is a professor	1111	06-jul-2018	91.3
bare_floor is an item found on the floor	1111	06-jul-2018	99.6
texas_smart is a company	1111	06-jul-2018	95.2
john_steinbeck contributed to the creative work the_red_pony	1111	06-jul-2018	99.9
tea is an agricultural product produced in india	1115	03-sep-2018	100.0
crabs is a type of shellfish	1116	12-sep-2018	99.2
delonte_west is an athlete coached by mike_brown	1116	12-sep-2018	100.0
peter_sellers starred in the movie pink_panther	1114	25-aug-2018	99.2