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
knowledge_texas is a board game	1111	06-jul-2018	100.0
n1_000_000_employees is a profession	1111	06-jul-2018	98.9
repetitive_finger is a bone	1111	06-jul-2018	93.7
unde_kaili_language is a language	1111	06-jul-2018	98.7
orange_lilies is a plant	1111	06-jul-2018	99.4
pork_jowl is related to pig	1114	25-aug-2018	100.0
andre_carson belongs to the religion islam	1116	12-sep-2018	100.0
carlos_santana has been charged with murder	1116	12-sep-2018	100.0
alex001 is a musician who plays the piano	1115	03-sep-2018	99.8
new_dehli is the capital city of the country india	1116	12-sep-2018	100.0