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
lymph_nodes_in_lungs is a lymph node	1111	06-jul-2018	99.5
kror is a radio station	1111	06-jul-2018	96.9
n3_2_percentage_points is a machine-learning algorithm	1111	06-jul-2018	99.7
comfortable_meeting_rooms is an office building room	1111	06-jul-2018	98.1
dispensing_process is a cognitive action	1111	06-jul-2018	100.0
hillary_clinton is a person who was written about in the_economist	1116	12-sep-2018	100.0
arachnids is an arthropod as well as arthropods also is	1111	06-jul-2018	100.0
hank_stuever is a journalist that writes for the publication washington	1113	15-aug-2018	93.8
isis is the mother of horus	1116	12-sep-2018	93.8
business is an academic program at the university george_washington_university__s_elliott_school	1114	25-aug-2018	95.0