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
klm is an organization	1114	25-aug-2018	100.0
n20_04_2010 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
proper_cells is a type of biological cell	1111	06-jul-2018	96.6
legal_committee is a professional organization	1111	06-jul-2018	100.0
mike_dobesh is a professor	1111	06-jul-2018	91.0
david_crosby is a musician who plays the guitar	1115	03-sep-2018	93.8
the coach shaun_alexander won the trophy or tournament super_bowl_xlii	1113	15-aug-2018	100.0
chairs is often found in spacious_veranda	1111	06-jul-2018	96.9
ashdod is a city also known as jerusalem	1112	24-jul-2018	93.8
holy_roman_emperor has citizenship in the country germany	1112	24-jul-2018	93.8