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
mcgraw_professor is a job position	1111	06-jul-2018	95.1
becky_wahlstrom is a commedian	1111	06-jul-2018	96.2
david_m__blei is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
john_sjogren is american	1111	06-jul-2018	100.0
poker_guidebook is a cardgame	1111	06-jul-2018	91.5
service has been charged with murder	1116	12-sep-2018	100.0
paul is a musician who is part of clash	1111	06-jul-2018	93.8
jeep is a company that produces jeep_wrangler	1114	25-aug-2018	100.0
house is a subpart of supply	1111	06-jul-2018	93.8
physiological is an academic program at the university state_university	1113	15-aug-2018	93.8