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
two_whisper is a parlour game	1111	06-jul-2018	100.0
big_brush_cave is a cave	1111	06-jul-2018	100.0
us_lighthouse_society is a non-profit organization	1111	06-jul-2018	96.0
federal_transportation_safety_board is a part of the government	1111	06-jul-2018	93.5
home_booklet is a location	1111	06-jul-2018	97.8
philadelphia_enquirer is a newspaper in the city philadelphia	1116	12-sep-2018	100.0
invesco_field_at_mile_high is the home venue for the sports team broncos	1116	12-sep-2018	98.4
spanish is a language taught in language schools in the city las_palmas_de_gran_canaria	1113	15-aug-2018	100.0
vegetables is an agricultural product produced in holland	1116	12-sep-2018	100.0
china is a country also known as switzerland_switzerland	1111	06-jul-2018	99.9