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
real_estate_students is a victim	1111	06-jul-2018	100.0
n28_2 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
deep_veins is a vein	1111	06-jul-2018	99.3
example_birmingham is a musical artist	1111	06-jul-2018	99.0
another_anime___con is a convention	1111	06-jul-2018	99.8
denver_international is an airport in the city boulder	1116	12-sep-2018	100.0
jobs is a person who moved to the state vermont	1115	03-sep-2018	99.6
the home stadium of alfonso_soriano is wrigley_field	1116	12-sep-2018	100.0
huskers is a sports team that plays against usc	1111	06-jul-2018	98.4
philadelphia_eagles is a sports team that plays the sport football	1116	12-sep-2018	100.0