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
a_a is a bacterium	1111	06-jul-2018	91.1
rare_meeting is a perception action	1111	06-jul-2018	93.3
melanoma_markers is an office supply	1111	06-jul-2018	92.4
bahasa_malaysian is a language	1111	06-jul-2018	99.5
betty_durden is an African person	1111	06-jul-2018	91.1
telugu is the language of the country india	1115	03-sep-2018	100.0
new_orleans_international is a building located in the city new_orleans	1116	12-sep-2018	96.9
anthony was born in the city new_york	1116	12-sep-2018	100.0
greg_bear contributed to the creative work darwin_s_radio	1111	06-jul-2018	100.0
david and carl are siblings	1114	25-aug-2018	93.8