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
golden_1_credit_union is a bank	1111	06-jul-2018	100.0
mifflinburg_buggy_museum is a museum	1111	06-jul-2018	100.0
mohd_fairuz is an African person	1111	06-jul-2018	90.6
n19_00_21_00 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
jennifer_jayne is a commedian	1111	06-jul-2018	98.1
the_george_washington_university is a sports team that plays in the league international	1116	12-sep-2018	100.0
houston_texans is a sports team that plays the sport football	1116	12-sep-2018	99.9
northwest_trek_wildlife_park is an aquarium in the city eatonville	1116	12-sep-2018	100.0
bombs is a type of weapon produced in israel	1114	25-aug-2018	100.0
larvae feeds on dragonfly_nymphs	1115	03-sep-2018	93.8