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
alicia_machado is a fashion model	1111	06-jul-2018	100.0
raetia is a state or a province	1111	06-jul-2018	97.8
type_11_diabetes is a disease	1111	06-jul-2018	100.0
creamy_artichoke_sauce is a condiment	1111	06-jul-2018	99.8
betty_durden is an African person	1111	06-jul-2018	91.1
ins is headquartered in the country u_s_	1116	12-sep-2018	99.2
the country zimbabwe uses the currency dollars	1116	12-sep-2018	99.9
melanie graduated from college	1114	25-aug-2018	100.0
mike is a person who moved to the state texas	1115	03-sep-2018	98.4
the coach andre_miller won the trophy or tournament division	1115	03-sep-2018	100.0