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
greater_record is a political blog	1111	06-jul-2018	99.2
james_gore is an author in the scientific field of machine learning	1111	06-jul-2018	99.7
joanna_bean is a legume	1111	06-jul-2018	98.2
prescription_antidepressant is a muscle	1111	06-jul-2018	99.5
rooms_and_suites is an office building room	1111	06-jul-2018	98.0
chevrolet is a company that produces corvette	1114	25-aug-2018	100.0
tram_lines is a transportation system located in the city paris	1116	12-sep-2018	100.0
hot_water is often found in rooms	1111	06-jul-2018	100.0
mites is a type of arachnids	1111	06-jul-2018	98.4
adam_everett plays the sport baseball	1116	12-sep-2018	100.0