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
u_s__district_judge_william_m__skretny is a part of the government	1111	06-jul-2018	100.0
raspberry_vodka is a beverage	1111	06-jul-2018	99.9
jackie_goodwin is american	1111	06-jul-2018	91.5
email_success is an event outcome	1111	06-jul-2018	93.7
wcwn is a TV station	1111	06-jul-2018	99.0
cable looks like lines	1111	06-jul-2018	100.0
appetite is a subpart of the body within system	1111	06-jul-2018	100.0
black_pepper is an agricultural product that is usually cooked with parsley	1114	25-aug-2018	100.0
aix_en_provence is a city located in the country france_france	1116	12-sep-2018	100.0
larry_johnson is an athlete who injured his/her foot	1115	03-sep-2018	100.0