Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
new_san_francisco_oakland_bay_bridge is a bridge	1111	06-jul-2018	96.8
cottony_clouds is a weather phenomenon	1111	06-jul-2018	98.7
investment_amount is an economic sector	1111	06-jul-2018	99.9
tmcre_www_pall_times_com_ottawa_citizen is a website	1111	06-jul-2018	100.0
bradley_airport is a transportation system	1111	06-jul-2018	100.0

furama_hotel_los_angeles is a hotel in the city los_angeles_ca	1116	12-sep-2018	100.0
oregon_ducks is headquartered in the state or province new_york	1116	12-sep-2018	100.0
deutsche_bank is a bank that has josef_ackermann as its CEO	1116	12-sep-2018	100.0
altamonte_springs is a city located in the state or province florida	1116	12-sep-2018	100.0
bed is often found in foot_unit	1111	06-jul-2018	93.8

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts