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
tanika_bean is a legume	1111	06-jul-2018	98.0
miami_dade_county is an organization	1113	15-aug-2018	100.0
journal_energy is a publication	1111	06-jul-2018	95.5
page_inline is an office supply	1111	06-jul-2018	95.2
ford_model_u_concept is a kind of vehicle	1111	06-jul-2018	100.0
nissan terminated the employment of carlos_ghosn	1113	15-aug-2018	100.0
carlos_lee is a politician who holds the office of governor	1116	12-sep-2018	93.8
internal_revenue_service is headquartered in the country us	1116	12-sep-2018	100.0
china is a country also known as portugal	1111	06-jul-2018	99.6
het_volk is a newspaper in the city brussels	1116	12-sep-2018	99.6