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
april_30 is a time	1111	06-jul-2018	100.0
movie_jurassic_park_3 is a movie	1111	06-jul-2018	100.0
volos_airport is a transportation system	1111	06-jul-2018	100.0
invitation_only_meeting is a perception action	1111	06-jul-2018	98.7
movable_partition_doors is something found in or on buildings	1111	06-jul-2018	98.8
rocky_anderson works for salt_lake	1112	24-jul-2018	100.0
the sports leage nba uses the venue wachovia_center	1114	25-aug-2018	98.4
maryland_division is an organization also known as services	1112	24-jul-2018	93.8
sweet_potatoes is an agricultural product produced in __america	1116	12-sep-2018	99.2
manny_diaz is the leader of the city miami	1116	12-sep-2018	98.6