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
dictators__lobster_sauce is a condiment	1111	06-jul-2018	99.9
messenger_eastern_courier is a blog	1111	06-jul-2018	99.9
guilford_lake is a trail	1111	06-jul-2018	100.0
ronneby is a visualizable scene	1111	06-jul-2018	99.2
n11_07 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
jim has wife joan	1116	12-sep-2018	96.9
national is a bank that bought indian_bank	1114	25-aug-2018	100.0
larger_pets is an animal that preys on dogs	1112	24-jul-2018	100.0
shanghai is a city located in the country china	1116	12-sep-2018	100.0
gregg_popovich coaches in the league nba	1116	12-sep-2018	100.0