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
use_re_use_policy_privacy_links___2012_third_way_terms is a CEO	1111	06-jul-2018	100.0
ramus_communicans_of_spinal_nerve is a nerve	1111	06-jul-2018	97.3
rob_morrow is a commedian	1111	06-jul-2018	100.0
funchal_airport is a transportation system	1111	06-jul-2018	100.0
automobile_picture is form of visual art	1111	06-jul-2018	96.7
greek is a language taught in language schools in the city jerusalem	1112	24-jul-2018	100.0
facilities is a subpart of water_supplies	1111	06-jul-2018	100.0
the companies paper and new_york compete with eachother	1111	06-jul-2018	98.4
tyco_healthcare is headquartered in the state or province massachusetts	1116	12-sep-2018	100.0
johnson001 graduated from high_school	1114	25-aug-2018	93.8