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
selling_power_magazine is a company	1111	06-jul-2018	100.0
deputy_secretary is a kind of office held by a politician	1111	06-jul-2018	100.0
greater_connectedness is an emotion	1111	06-jul-2018	96.3
grass_court_title is an award, championship, or tournament trophy	1111	06-jul-2018	90.2
pot_roast_sandwich_recipe is a recipe	1111	06-jul-2018	99.8
miller001 is a person who has attended the school state_university	1113	15-aug-2018	100.0
new_york terminated the employment of rudy_giuliani	1114	25-aug-2018	100.0
al_gore is related to harvard_college	1114	25-aug-2018	100.0
moises_alou is the parent of felipe_alou	1115	03-sep-2018	100.0
hounslow is a park in the city central_london	1116	12-sep-2018	100.0