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
heinrich_geissler is a scientist	1111	06-jul-2018	100.0
deepwater_squirrelfish is an invertebrate	1111	06-jul-2018	100.0
jeff_estes coaches a sports team	1111	06-jul-2018	91.2
board_certified_family_practitioner is a job position	1111	06-jul-2018	94.7
julie_yeh_feng is an Asian person	1111	06-jul-2018	99.9
kmex is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	99.9
national is a bank in venezuela	1114	25-aug-2018	100.0
sega is related to pc	1114	25-aug-2018	99.6
pavement is a musician in the genre indie	1111	06-jul-2018	100.0
n6115 is a room in the building gates___hilman_centers	1116	12-sep-2018	100.0