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
national_science_foundation_research is a part of the government	1111	06-jul-2018	100.0
senior_member is a profession	1111	06-jul-2018	100.0
wnne_tv is a TV station	1111	06-jul-2018	99.2
far_out_recordings is a record label	1111	06-jul-2018	99.2
megaman_zero_2 is software	1112	24-jul-2018	100.0
abbey has spouse henry002	1116	12-sep-2018	93.8
the companies examiner and los_angeles compete with eachother	1111	06-jul-2018	100.0
giuliani represents the region new	1115	03-sep-2018	95.7
use_agreement participated in the event terms	1113	15-aug-2018	99.2
steven_derounian is a person who has residence in the country us	1115	03-sep-2018	100.0