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
hull_area is a monument	1111	06-jul-2018	100.0
micke_waldung_zoo is a zoo	1111	06-jul-2018	99.8
global_correspondent is a job position	1111	06-jul-2018	98.8
good_shepherd_church_of_god is a religion	1111	06-jul-2018	100.0
special_events is a TV show	1111	06-jul-2018	100.0
favre plays the athletic team position player	1113	15-aug-2018	99.7
weill was born in nueva_york	1116	12-sep-2018	100.0
maryland is a sate or province located in the country south_korea	1116	12-sep-2018	100.0
the sports leage mlb uses the venue pnc_park	1114	25-aug-2018	100.0
air_arabia is a company that has an office in the city sharjah	1111	06-jul-2018	100.0