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
studio_style_suites is an office building room	1111	06-jul-2018	98.8
real_leather_sofa_chair is an item found on the floor	1111	06-jul-2018	99.4
work_clock is an item often found in a bedroom	1111	06-jul-2018	99.9
blue_jays is a sports team	1111	06-jul-2018	100.0
cupboard_spider is an arachnid	1112	24-jul-2018	100.0
audi is a specific automobile maker dealer in california	1114	25-aug-2018	96.9
great_wines is found in valley	1112	24-jul-2018	93.8
t_mobile_usa is an organization known by the acronym t_l	1114	25-aug-2018	100.0
cross_roads is a farm in the state or province maryland	1116	12-sep-2018	100.0
terry_bradshaw is related to terry_bradshaw	1116	12-sep-2018	100.0