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
jet_software is a tool	1111	06-jul-2018	99.4
innsbruck_airport is a transportation system	1111	06-jul-2018	100.0
clopay_overhead_doors is something found in or on buildings	1111	06-jul-2018	98.6
tool_set is an item found in the kitchen	1111	06-jul-2018	99.9
jw_marriott_hotel_dubai is a skyscraper	1111	06-jul-2018	99.8
national is a bank in indonesia	1114	25-aug-2018	100.0
national is a company that has an office in the country ghana	1114	25-aug-2018	100.0
honda is a specific automobile maker dealer in fort_lauderdale	1114	25-aug-2018	93.8
barking is a tourist attraction in the city central_london	1116	12-sep-2018	96.1
dc is a city also known as howard	1113	15-aug-2018	100.0