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
lisa_blount is a male	1111	06-jul-2018	90.0
nuestro_estado is a currency	1111	06-jul-2018	100.0
anatoli_solovjov is an astronaut	1111	06-jul-2018	100.0
sea_beaches can be a part of a landscape	1111	06-jul-2018	98.7
ford_taunus_17m is a kind of vehicle	1111	06-jul-2018	99.8
tea is an agricultural product produced in us	1115	03-sep-2018	99.6
wilkes_barre_scranton_international_airport is a generalization of temple_of_the_reclining_buddha	1115	03-sep-2018	100.0
adelaide is the capital city of the state or province south_australia	1116	12-sep-2018	100.0
cells is a subpart of the body within adipose	1111	06-jul-2018	98.4
mr__bush represents the region new	1115	03-sep-2018	96.9