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
rights_administration is a political issue	1111	06-jul-2018	99.9
full_daylight is a perception event	1111	06-jul-2018	97.4
koh_pha_ngan is a visualizable scene	1111	06-jul-2018	99.2
beretta_pistols is a weapon	1111	06-jul-2018	97.7
technique_process is a cognitive action	1111	06-jul-2018	99.9
l_aquarium_de_barcelona is an aquarium in the city barcelona	1116	12-sep-2018	100.0
klamath_mountains is a mountain in the state or province oregon	1116	12-sep-2018	100.0
carey_hart has wife pink	1116	12-sep-2018	100.0
town was born in the city new_york	1116	12-sep-2018	100.0
european_states is a generalization of italy	1116	12-sep-2018	99.2