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
white_restaurant is a restaurant	1111	06-jul-2018	100.0
wilmington_delaware_news_journal is a blog	1111	06-jul-2018	99.9
currency_exchange_calculator is an economic sector	1111	06-jul-2018	99.8
adelaide_airport is a transportation port	1112	24-jul-2018	100.0
henry_brown is a Canadian person	1111	06-jul-2018	100.0
st__louis_cardinals is a sports team that plays the sport baseball	1116	12-sep-2018	100.0
tao_restaurant is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
trinamool_congress hired party	1112	24-jul-2018	98.4
marc_anthony and jennifer_lopez are family members	1111	06-jul-2018	98.4
john_quincy_adams is a person born on the date n1825	1116	12-sep-2018	100.0