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
whangarei_airport is a transportation port	1111	06-jul-2018	100.0
pterygopharyngeal_muscle is a muscle	1111	06-jul-2018	99.5
native_art_gallery is a museum	1111	06-jul-2018	91.0
n12250 is a ZIP code	1111	06-jul-2018	99.8
william_warren is a criminal	1111	06-jul-2018	100.0
white_sox is headquartered in the state or province new_york	1116	12-sep-2018	100.0
china is a country also known as portugal	1111	06-jul-2018	99.6
kilburn_park is a park in the city central_london	1116	12-sep-2018	100.0
chicago_bulls is a sports team that plays against raptors	1111	06-jul-2018	100.0
christian_bale contributed to the creative work batman	1114	25-aug-2018	93.8