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
queenstown_campervan is a product	1111	06-jul-2018	90.6
tumour_necrosis_factor is a protein	1111	06-jul-2018	100.0
live_at_last is a musical album	1111	06-jul-2018	100.0
top_bird is a vertebrate	1111	06-jul-2018	100.0
n21_9 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
kevin_clark and paul001 are siblings	1114	25-aug-2018	93.8
bugatti is a specific automobile maker dealer in _uk	1116	12-sep-2018	93.8
west_virginia hired huggins	1111	06-jul-2018	100.0
black_pepper is an agricultural product that is usually cooked with spinach	1114	25-aug-2018	96.9
tarifa is a city located in the country spain	1116	12-sep-2018	93.8