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_snowden ia a celebrity	1111	06-jul-2018	90.5
sony_vaio_laptop is a consumer electronic device	1111	06-jul-2018	100.0
leslie_newman is a chef	1111	06-jul-2018	100.0
alarm_clock_radio_with_ipod_dock is an item often found in a bedroom	1111	06-jul-2018	99.9
hosur_road is a street	1111	06-jul-2018	100.0
bathory is a musician in the genre metal	1112	24-jul-2018	100.0
james_wood held the position of critic	1115	03-sep-2018	100.0
db_woodside has spouse guest	1116	12-sep-2018	93.8
products001 is a product produced in korea	1116	12-sep-2018	93.8
bernie_mac003 is a person who died at the age of 50	1116	12-sep-2018	100.0