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
halpin_covered_bridge is a bridge	1111	06-jul-2018	96.8
additional_interests is a hobby	1111	06-jul-2018	99.5
heron_pond_farm is a farm	1111	06-jul-2018	99.8
sacagawea_peak is a mountain	1111	06-jul-2018	100.0
n4_different_countries is a geopolitical entity that is a location	1111	06-jul-2018	92.4
persian is the language of the country india	1115	03-sep-2018	100.0
john_steinbeck contributed to the creative work the_red_pony	1111	06-jul-2018	99.9
kevin_dubrow is a musician who is part of quiet_riot	1113	15-aug-2018	100.0
sega is related to pc_engine	1114	25-aug-2018	93.8
lake_missaukee is a lake in the state or province michigan	1116	12-sep-2018	100.0