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
quick_texas is a board game	1111	06-jul-2018	100.0
december_2021 is a date	1111	06-jul-2018	97.3
un_climate_talks is a hobby	1111	06-jul-2018	99.9
large_comfortable_rooms is an office building room	1111	06-jul-2018	98.7
n9_7_victory is an event outcome	1111	06-jul-2018	99.9
dc is a city that lies on the river potomac	1113	15-aug-2018	100.0
steinhart_aquarium is an aquarium in the city san_francisco	1116	12-sep-2018	100.0
irish_studies is an academic program at the university college	1115	03-sep-2018	96.9
national is a company that has an office in the country iran	1114	25-aug-2018	100.0
forteo is expected to come to market on n2002	1116	12-sep-2018	100.0