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
mead_software is a tool	1111	06-jul-2018	99.4
kota_kinabalu_international_airport is a transportation port	1111	06-jul-2018	100.0
milena_majewska is a fashion model	1111	06-jul-2018	100.0
rob_morrow is a commedian	1111	06-jul-2018	100.0
grain_wheat_crackers is an agricultural product	1111	06-jul-2018	99.5
kzok_fm is a radio station in the city seattle	1116	12-sep-2018	99.9
felipe_alou is the father of moises_alou	1115	03-sep-2018	93.8
widow is a synonym for spiders	1111	06-jul-2018	100.0
new_york_city_police_museum is a museum in the city new_york	1116	12-sep-2018	100.0
elverson_road is a park in the city central_london	1116	12-sep-2018	100.0