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
chico_area is a building	1111	06-jul-2018	95.3
morton_williams_supermarkets is a retail store	1111	06-jul-2018	99.5
capex_investment is an economic sector	1111	06-jul-2018	100.0
tracy_frazier is a writer	1111	06-jul-2018	91.5
queen_size_futon is a kind of furniture	1111	06-jul-2018	99.9
object_storage occurrs at the date april_15__2013	1116	12-sep-2018	100.0
autodesk_inc_ terminated the employment of carol_a__bartz	1114	25-aug-2018	100.0
ray_rice coaches in the league nfl	1116	12-sep-2018	99.2
zacarias_moussaoui belongs to the ethnic group french	1116	12-sep-2018	100.0
ice_hockey is a sport with fans in the country __america	1116	12-sep-2018	99.6