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
north_mountain_vineyard___winery is a winery	1111	06-jul-2018	100.0
center_offerings is a sports team position	1111	06-jul-2018	99.0
continuous_learning is an area of study within the field of machine learning	1111	06-jul-2018	99.9
northern_spadefoot_toad is an amphibian	1111	06-jul-2018	100.0
n36_37 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
agassi is an athlete who wins french_open	1116	12-sep-2018	99.2
afghanistan is a country also known as china	1111	06-jul-2018	93.8
larry_lucchino is a top member of red_sox	1116	12-sep-2018	99.6
kfvs is a TV affiliate of the network cbs_evening_news	1116	12-sep-2018	99.6
marina is a park in the city san_francisco	1116	12-sep-2018	98.4