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
one_hour__ is a parlour game	1111	06-jul-2018	100.0
dwyer_cave is a cave	1111	06-jul-2018	100.0
norwegian_glacier_museum is a museum	1111	06-jul-2018	100.0
vegetarian_dumpling_recipe is a recipe	1111	06-jul-2018	99.6
carolina_red_barbecue_sauce is a condiment	1111	06-jul-2018	99.8
xom_ is a company also known as exxonmobil001	1114	25-aug-2018	100.0
bountiful is a subpart of utah	1111	06-jul-2018	96.9
black_pepper is an agricultural product that is usually cooked with cilantro	1114	25-aug-2018	99.2
digger_phelps coaches the team notre_dame	1116	12-sep-2018	93.8
state_university is a sports team also known as boise_state_university	1111	06-jul-2018	100.0