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
dime_forest_treefrog is an amphibian	1111	06-jul-2018	100.0
boxer_or_cleaner_shrimp is a crustacean	1111	06-jul-2018	99.8
icgp is a conference	1111	06-jul-2018	99.1
cordoba_city is a geopolitical entity that is a location	1111	06-jul-2018	92.3
west_bowdoin_maine is a beach	1111	06-jul-2018	93.8
richt works for georgia	1111	06-jul-2018	99.2
jonathan_van_every has spouse lot	1116	12-sep-2018	93.8
kobe_bryant001 is a person who has age 30	1116	12-sep-2018	100.0
oregon_state is a sports team that plays against usc	1111	06-jul-2018	100.0
cleveland_browns is a sports team that won the super_bowl	1113	15-aug-2018	100.0