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
fallowness is a physical characteristic	1112	24-jul-2018	100.0
class_ladies is a machine-learning conference	1111	06-jul-2018	94.4
bluff_dale_suspension_bridge is a bridge	1111	06-jul-2018	96.6
illzach is a visualizable scene	1111	06-jul-2018	99.2
superficial_head_of_flexor_pollicis_brevis is a muscle	1111	06-jul-2018	99.7
intc is a company also known as intel	1114	25-aug-2018	100.0
the sport baseball was played at n1959_world_series	1116	12-sep-2018	100.0
national_fire_protection_association is headquartered in the country u_s_	1116	12-sep-2018	93.8
microsoft is related to xboxone	1115	03-sep-2018	100.0
bill_parcells is a sports coach also known as al_groh	1116	12-sep-2018	98.4