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
t_j__lavin is an actor	1111	06-jul-2018	95.6
moduret is a drug	1111	06-jul-2018	91.6
leisure_lake is a trail	1111	06-jul-2018	100.0
mary_woronov is a female	1111	06-jul-2018	100.0
ickp is a conference	1111	06-jul-2018	99.3
stove is often found in kitchen	1111	06-jul-2018	100.0
super_bowl_xliv_the_indianapolis_colts hired dungy	1113	15-aug-2018	100.0
magic is a sports team that plays against bobcats	1111	06-jul-2018	100.0
cursive is a musician in the genre indie	1113	15-aug-2018	93.8
district is a city located in the geopolitical location national	1114	25-aug-2018	100.0