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
metadata_software is a tool	1111	06-jul-2018	99.8
ewingsdale_road is a highway	1111	06-jul-2018	93.6
gulf_meadows_church_of_god is a religion	1111	06-jul-2018	100.0
oiled_roasting_pan is an item found in the kitchen	1111	06-jul-2018	99.7
humen_pearl_river_bridge is a bridge	1111	06-jul-2018	97.7
jeep is a company that produces jeep_cherokee	1114	25-aug-2018	100.0
lake_blue_ridge is a lake in the state or province georgia	1116	12-sep-2018	100.0
jon_stewart is a U.S. politician endorsed by the U.S. politician clinton	1113	15-aug-2018	93.8
sony is related to ps2	1115	03-sep-2018	100.0
subaru is a specific automobile maker dealer in virginia	1114	25-aug-2018	93.8