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
flathead_beacon is a publication	1111	06-jul-2018	90.6
donald_burton is an Australian person	1111	06-jul-2018	92.6
newport_vermont is a beach	1111	06-jul-2018	100.0
small_lines is a geometric shape	1111	06-jul-2018	91.5
n2004_world_cup is a visualizable attribute	1111	06-jul-2018	90.1
nissan is a specific automobile maker dealer in austin	1114	25-aug-2018	100.0
the country great_britain uses the currency pounds	1116	12-sep-2018	98.4
hilgard_house_westwood_village is a hotel in the city los_angeles_ca	1116	12-sep-2018	100.0
tea is an agricultural product produced in _uk	1116	12-sep-2018	100.0
charles has brother james	1116	12-sep-2018	99.6