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
anurag_tyagi is an actor	1111	06-jul-2018	91.1
n2_1__ is a machine-learning algorithm	1111	06-jul-2018	99.4
beal_s_eyed_turtle is an amphibian	1111	06-jul-2018	100.0
john_riley is a professor	1111	06-jul-2018	100.0
tree_work is a research project	1111	06-jul-2018	98.8
ford is a company that produces falcon	1114	25-aug-2018	100.0
the coach holliday won the trophy or tournament world_series	1115	03-sep-2018	100.0
white_t_shirts is a clothing item to go with pants	1111	06-jul-2018	100.0
biden is a U.S. politician who holds the office of vice_presidential	1113	15-aug-2018	99.6
fiesta_rancho_station is a building located in the city las_vegas	1116	12-sep-2018	93.8