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
n03_06_2009 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
manchester_college is a university	1111	06-jul-2018	100.0
i_m_talking_about_you is a song	1111	06-jul-2018	97.4
gis_coordinator is a kind of office held by a politician	1111	06-jul-2018	100.0
american_driver_and_traffic_safety_education_association is a professional organization	1111	06-jul-2018	100.0
system looks like display001	1112	24-jul-2018	98.4
sega is related to saturn	1114	25-aug-2018	100.0
japanese is a language taught in language schools in the city tokyo	1113	15-aug-2018	100.0
tom_lehman belongs to the religion christian	1116	12-sep-2018	100.0
charleston_international_airport is an airport in the city charleston	1116	12-sep-2018	100.0