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
icar is a conference	1111	06-jul-2018	99.3
michael_smith is a chef	1111	06-jul-2018	100.0
quiz_capcom_world_2 is software	1111	06-jul-2018	100.0
college_station_arkansas is a beach	1111	06-jul-2018	96.0
susan_ducey is a U.S. politician	1111	06-jul-2018	99.9
martinez held the position of baseball_player	1111	06-jul-2018	100.0
new_york_stock_exchange terminated the employment of richard_grasso	1113	15-aug-2018	100.0
hot_water is often found in rooms	1111	06-jul-2018	100.0
beth_israel_deaconess is a hospital in the city boston	1116	12-sep-2018	93.8
nassau is a subpart of bahamas	1111	06-jul-2018	99.9