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
manuel_chaves is a South American person	1111	06-jul-2018	98.4
rachel_oliver is a chef	1111	06-jul-2018	94.2
leros is a visualizable scene	1111	06-jul-2018	99.5
center_others is a sports team position	1111	06-jul-2018	98.8
hardanger_musikkfest is a music festival	1111	06-jul-2018	100.0
system is a subpart of water_line	1111	06-jul-2018	93.8
baltimore_colts_in_super_bowl_iii is headquartered in the state or province new_york	1116	12-sep-2018	100.0
interdigital is a company also known as interdigital_communications_corporation	1111	06-jul-2018	93.8
tv_actors is a generalization of lisa_kudrow	1116	12-sep-2018	100.0
khgi_tv is a TV affiliate of the network abc_news	1116	12-sep-2018	100.0