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
cars__trucks is a kind of vehicle	1111	06-jul-2018	99.6
twitch_recordings is a record label	1111	06-jul-2018	97.6
overnobleness is a physical characteristic	1112	24-jul-2018	100.0
curacao_airport is a transportation system	1111	06-jul-2018	100.0
dallas_museum_of_art is a stadium or event venue	1111	06-jul-2018	100.0
hartford_connecticut is a city located in the geopolitical location connecticut	1114	25-aug-2018	99.8
kunm is a radio station in the city albuquerque	1116	12-sep-2018	100.0
lazard is a company in the economic sector of investment	1112	24-jul-2018	99.6
heathrow is an airport in the city central_london	1116	12-sep-2018	100.0
tv_actors is a generalization of lisa_kudrow	1116	12-sep-2018	100.0