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
charles_connell is a musician	1111	06-jul-2018	100.0
_011 is a machine-learning algorithm	1111	06-jul-2018	99.6
brian_baumgartner is a male	1111	06-jul-2018	95.5
n12739 is a ZIP code	1111	06-jul-2018	99.8
bare_tailed_armored_tree_rat is a mammal	1111	06-jul-2018	100.0
khiz is headquartered in the city los_angeles_ca	1116	12-sep-2018	100.0
n3_51am is the time of the event one_dead__30_injured_in_southern_pakistan_quakes	1116	12-sep-2018	100.0
intc is a company also known as wal_mart_stores	1114	25-aug-2018	100.0
miles_davis is a musician who plays the trumpet	1115	03-sep-2018	93.8
peleg is the parent of reu_two_hundred	1113	15-aug-2018	100.0