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
ksyx is a radio station	1111	06-jul-2018	98.2
the_origin_of_the_feces is a musical album	1111	06-jul-2018	100.0
health_education_students is a victim	1111	06-jul-2018	100.0
n2_8_percent is a machine-learning algorithm	1111	06-jul-2018	99.3
edward_leary is a North American person	1111	06-jul-2018	91.6
three is the number of people killed in the event three_killed_in_lebanese_suicide_bombing	1116	12-sep-2018	100.0
modern_hebrew is the language of the country palestine	1114	25-aug-2018	100.0
beds is often found in casita	1111	06-jul-2018	100.0
college hired carroll	1113	15-aug-2018	98.4
the coach chris_cooley won the trophy or tournament super_bowl	1113	15-aug-2018	100.0