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
n0_5_percentage is a machine-learning algorithm	1111	06-jul-2018	99.6
toy_rifles is a weapon	1111	06-jul-2018	98.4
outdoor_chairs is an item found on the floor	1111	06-jul-2018	99.5
psp_one is a consumer electronic device	1111	06-jul-2018	100.0
glass_door_panel is something found in or on buildings	1111	06-jul-2018	99.6
spiders is called widow_spiders	1111	06-jul-2018	100.0
motorola was responsible for moto_e_price__specs__release_date__features___89_smartphone_set_to__end_feature_phones_	1114	25-aug-2018	100.0
benedict is a person who has age nonneginteger:n81	1116	12-sep-2018	100.0
april_14 is the time of the event n70_killed_in_nigeria_bus_blasts	1116	12-sep-2018	100.0
garage is often found in site	1116	12-sep-2018	93.8