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
n1986_school_election is an election	1111	06-jul-2018	93.2
home_project is a location	1113	15-aug-2018	90.5
line_health_insurance_premiums is a visualizable attribute	1111	06-jul-2018	90.4
herman_mark is a scientist	1111	06-jul-2018	96.2
steakhouse_restaurant is a restaurant	1111	06-jul-2018	100.0
fresno_state is a sports team that plays the sport baseball	1116	12-sep-2018	100.0
spiders is called beetles	1111	06-jul-2018	100.0
invertebrates is a type of spiders	1111	06-jul-2018	90.6
moses has brother john	1113	15-aug-2018	98.4
louis_armstrong_new_orleans_international_airport is an airport in the city new_orleans	1116	12-sep-2018	100.0