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
kmvt_tv is a TV station	1111	06-jul-2018	99.9
drafting_paper is an office supply	1114	25-aug-2018	94.5
luis_valbuena is a Mexican person	1111	06-jul-2018	99.9
kymulga_mill_and_covered_bridge is a bridge	1111	06-jul-2018	99.2
arlene_martel is a commedian	1111	06-jul-2018	94.0
volkswagen terminated the employment of martin_winterkorn	1111	06-jul-2018	100.0
larvae feeds on dragonfly_nymphs	1115	03-sep-2018	93.8
texas_rangers is a sports team that plays the sport baseball	1116	12-sep-2018	100.0
biden is a U.S. politician endorsed by the U.S. politician mccain	1113	15-aug-2018	99.9
db_woodside has spouse guest	1116	12-sep-2018	93.8