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
late_model_computer is an item found on a table	1111	06-jul-2018	99.8
light_lavender_violet is a color	1112	24-jul-2018	99.2
thomas_s_giant_deer_mouse is a mammal	1111	06-jul-2018	100.0
light_music is a record label	1111	06-jul-2018	91.2
n1_corinthians_9_16 is an ethnic group	1111	06-jul-2018	97.2
nenad_krstic is a person also known as tyson_chandler	1111	06-jul-2018	100.0
henry is a politician who holds the office of president	1113	15-aug-2018	98.4
father is the father of saviour	1115	03-sep-2018	100.0
computer looks like cable	1111	06-jul-2018	93.8
rogers_centre is the home venue for the sports team blue_jays	1116	12-sep-2018	100.0