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
n2_ethoxyethanol is a chemical	1111	06-jul-2018	100.0
sausage_offerings is a type of meat	1111	06-jul-2018	98.8
paul_scherrer is a Canadian person	1111	06-jul-2018	100.0
battle_of_saule is a military conflict	1111	06-jul-2018	100.0
williamstown_hotels is a park	1111	06-jul-2018	90.8
dance is a sport taught in the country _uk	1116	12-sep-2018	100.0
bonaparte_restaurant is a restaurant in the city montreal	1116	12-sep-2018	100.0
security concerns information	1116	12-sep-2018	99.2
system is a subpart of water_line	1111	06-jul-2018	93.8
richard_wagoner is the CEO of the automobile maker company gm	1116	12-sep-2018	100.0