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
international_film_festival_of_marrakech is a film festival	1111	06-jul-2018	100.0
domenico_tiepolo is a visual artist	1111	06-jul-2018	100.0
quality_food_centers_inc is a retail store	1111	06-jul-2018	99.4
financial_institutions_industry is an economic sector	1111	06-jul-2018	100.0
jamestown_yorktown_foundation is a museum	1111	06-jul-2018	92.5
bill_belichick is a sports coach also known as bill_parcells	1116	12-sep-2018	93.8
london_luton_airport is a building located in the city central_london	1116	12-sep-2018	98.4
faro_airport is a generalization of temple_of_the_reclining_buddha	1113	15-aug-2018	100.0
rotorua is a city that lies on the river kaituna	1111	06-jul-2018	93.8
criteria is a subpart of water	1111	06-jul-2018	98.4