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
bilingual_elementary_school_teacher is a job position	1111	06-jul-2018	95.1
distinguishability is an emotion	1111	06-jul-2018	96.0
street_fighter_ii___special_champion_edition is a video game	1111	06-jul-2018	100.0
canadian_islands can be a part of a landscape	1111	06-jul-2018	98.9
sinuses_and_lymph_nodes is a lymph node	1111	06-jul-2018	99.7
fred_goodwin works for scotland	1112	24-jul-2018	96.9
emc has acquired rsa	1114	25-aug-2018	100.0
national is a company that has an office in the country chile	1114	25-aug-2018	100.0
the companies herald_tribune and chicago001 compete with eachother	1111	06-jul-2018	93.8
kurt_warner is an athlete who wins super_bowl	1112	24-jul-2018	100.0