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
sam_houston_national_cemetery is a place of worship	1112	24-jul-2018	99.9
prescription_xanax_effects is a muscle	1111	06-jul-2018	99.8
n20_03_2008 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
wsjt is a radio station	1111	06-jul-2018	96.9
david_bell is a U.S. politician	1111	06-jul-2018	100.0
gynecology is an academic program at the university college	1113	15-aug-2018	100.0
the companies examiner and los_angeles compete with eachother	1111	06-jul-2018	100.0
air_national_guard is headquartered in the country us	1116	12-sep-2018	99.6
washington_d_c_ is a city that lies on the river grand	1113	15-aug-2018	100.0
alli_sims and britney_spears are family members	1111	06-jul-2018	100.0