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
centavos is a currency	1111	06-jul-2018	91.1
kew is a city	1111	06-jul-2018	99.7
lou_montanez is a male	1111	06-jul-2018	90.1
ground_whole_wheat is a grain	1111	06-jul-2018	92.2
safeguards_violations ia a crime or charge	1111	06-jul-2018	93.1
movie_actors is a generalization of sigourney_weaver	1116	12-sep-2018	100.0
gt is a company also known as goodyear	1114	25-aug-2018	100.0
green_foliage has color orange	1114	25-aug-2018	98.4
george_h_w_ is a politician who holds the office of president	1113	15-aug-2018	100.0
oakland_international is an attraction that will be fall in city san_francisco	1116	12-sep-2018	93.8