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
casa_torres_vineyard is a winery	1111	06-jul-2018	100.0
hawaiian_banana_muffins_or_bread is a baked good	1111	06-jul-2018	100.0
mission_viejo is a visualizable scene	1111	06-jul-2018	99.4
new_san_francisco_oakland_bay_bridge is a bridge	1111	06-jul-2018	96.8
louis_francois_roubiliac is a visual artist	1111	06-jul-2018	100.0
theodore_roosevelt is a politician who holds the office of vice_president	1115	03-sep-2018	93.8
surf is a sport taught in the country _uk	1116	12-sep-2018	100.0
johnson001 is a person who has attended the school state_university	1114	25-aug-2018	91.4
william has been charged with murder	1116	12-sep-2018	99.2
stop is a building located in the city las_vegas	1116	12-sep-2018	100.0