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
maria_rohm ia a celebrity	1111	06-jul-2018	98.9
matt_diaz is american	1111	06-jul-2018	100.0
klqv is a radio station	1111	06-jul-2018	96.9
jenny_mollen is a female	1111	06-jul-2018	100.0
espoo_museum_of_modern_art is a museum	1111	06-jul-2018	91.9
nuts is an agricultural product produced in __america	1116	12-sep-2018	99.2
national is a bank in bangladesh	1114	25-aug-2018	100.0
jackson was born in new_orleans	1116	12-sep-2018	99.6
theodor_kolek is a person who has residence in the country israel	1114	25-aug-2018	100.0
states is a state or province located in the geopolitical location las_vegas	1115	03-sep-2018	99.5