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
blackthorn_tree is a plant	1111	06-jul-2018	99.5
nicholson_road is a highway	1111	06-jul-2018	100.0
dmc_sinai_grace_hospital is a hospital	1111	06-jul-2018	92.7
important_energy_resource is a refinery product	1111	06-jul-2018	91.5
hellgate_london is a video game	1111	06-jul-2018	92.7
dvd looks like projector	1111	06-jul-2018	93.8
safina is an athlete who wins grand_slam	1114	25-aug-2018	100.0
pulses is related to india	1115	03-sep-2018	100.0
providence is the home city of the sports team brown_university	1116	12-sep-2018	99.8
chris_martin has wife gwyneth_paltrow	1116	12-sep-2018	99.8