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
magistrate_judge_john_m__facciola is a judge	1111	06-jul-2018	97.0
naughty_texas is a board game	1111	06-jul-2018	100.0
jack_ketchum is a writer	1111	06-jul-2018	97.9
white_house_conference is a conference	1111	06-jul-2018	99.7
matsumoto_jun is a commedian	1111	06-jul-2018	90.3
west_street is a street in the city annapolis	1116	12-sep-2018	100.0
rachel is the parent of lt__joseph_r__hunt	1115	03-sep-2018	94.1
national is a bank that bought bnp_paribas	1114	25-aug-2018	100.0
novak_djokovic is an athlete who wins australian_open	1115	03-sep-2018	100.0
reagan_washington_national is an attraction that will be fall in city washington_d_c_	1116	12-sep-2018	100.0