Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
zoo_de_la_teste is a zoo	1111	06-jul-2018	99.9
dharampur is a geopolitical entity that is an organization	1111	06-jul-2018	94.5
chatham_eben_co_op_fcu is a credit union	1111	06-jul-2018	100.0
facuak_lymph_nodes is a part of the body	1111	06-jul-2018	100.0
blueberries_muffin_recipes is a recipe	1111	06-jul-2018	99.8

rolls_royce is a company in the economic sector of engineering	1114	25-aug-2018	96.9
international_business_machines_corp is an organization known by the acronym ibm	1116	12-sep-2018	100.0
hockey is a sport played in the venue jobing_com_arena	1115	03-sep-2018	100.0
lincoln makes the automobile navigator	1114	25-aug-2018	100.0
demarcus_ware plays for the team oklahoma_state	1116	12-sep-2018	99.2

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts