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
the_hundred_days_of_the_dragon is a TV show	1111	06-jul-2018	99.9
channel_islands_national_park is a tourist attraction	1111	06-jul-2018	100.0
disorders_a is a disease	1111	06-jul-2018	92.5
n6_38_pm is a time	1111	06-jul-2018	100.0
modest_0_5_percent is a machine-learning algorithm	1111	06-jul-2018	95.0
zen_mountain_monastery is a place of worship that practices the religion of buddhism	1116	12-sep-2018	100.0
black_widow is an arthropod as well as spiders also is	1111	06-jul-2018	100.0
carl and david are siblings	1114	25-aug-2018	93.8
wade_boggs is an athlete who injured his/her back	1115	03-sep-2018	100.0
gmc is a specific automobile maker dealer in _uk	1116	12-sep-2018	99.9