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
united_parcel is an organization	1114	25-aug-2018	100.0
poker_no_limits_texas is a board game	1111	06-jul-2018	100.0
exxon_mobil_corp_ is a pertroleum company	1114	25-aug-2018	100.0
_83 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
www_omgcon is a convention	1111	06-jul-2018	99.9
staph is a bacteria that causes infection	1113	15-aug-2018	99.9
washington_state is a sate or province located in the country u_s_	1116	12-sep-2018	100.0
patriots_35_21 is a sports team also known as former_green_bay_packers	1113	15-aug-2018	93.8
large_herds is a generalization of buffalo	1111	06-jul-2018	100.0
abercorn_street is a street in the city savannah	1116	12-sep-2018	100.0