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
blogging_home is a location	1115	03-sep-2018	99.0
two_spotted_spider_mite is an insect	1111	06-jul-2018	100.0
brenda_mueller is a professor	1111	06-jul-2018	91.1
ixquick__com is a website	1111	06-jul-2018	92.9
express_access is a building	1111	06-jul-2018	96.2
pests is a type of spiders	1111	06-jul-2018	99.3
stansted_airport is a generalization of temple_of_the_reclining_buddha	1113	15-aug-2018	100.0
china is a country also known as mongolia	1111	06-jul-2018	100.0
tampa_bay_devil_rays is a subpart of mlb	1111	06-jul-2018	100.0
eventual_super_bowl_champion_new_york_giants is headquartered in the state or province ny	1116	12-sep-2018	100.0