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
colossians_1_9_10 is an ethnic group	1111	06-jul-2018	95.3
line_escondido is a visualizable attribute	1111	06-jul-2018	90.3
virginia_august_wilson_theatre is a building	1111	06-jul-2018	92.3
banjarmasin is a visualizable object	1111	06-jul-2018	98.7
oshkosh_airport is a transportation system	1111	06-jul-2018	100.0
raptors is a sports team that played in playoffs	1111	06-jul-2018	99.2
ramada_plaza is a hotel in the city toronto	1116	12-sep-2018	100.0
baltimore is a city also known as dc	1113	15-aug-2018	93.8
national is a company that has an office in the country the_philippines	1114	25-aug-2018	100.0
seth_borenstein works for ap_news	1111	06-jul-2018	93.8