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
kamila_filicipkova is a fashion model	1111	06-jul-2018	100.0
communication_comments is software used by machine-learning scientists	1111	06-jul-2018	99.6
new_jersey_lawyer_weekly is a newspaper	1111	06-jul-2018	100.0
goodok_psp_video_converter is a consumer electronic device	1111	06-jul-2018	99.9
beautiful_lizards is an animal	1111	06-jul-2018	91.3
recovery is a subpart of the body within system	1111	06-jul-2018	99.2
p_j__brown is a person also known as aaron_rodgers	1115	03-sep-2018	100.0
n400_employees is a synonym for board	1111	06-jul-2018	93.8
mark is a person who graduated from the university college	1115	03-sep-2018	100.0
washington participated in the event result	1113	15-aug-2018	98.4