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
leadership_development_program is an academic field	1111	06-jul-2018	100.0
corvallis_youth_symphony is a musician	1111	06-jul-2018	94.0
chris_marie_green is a person	1111	06-jul-2018	94.2
n03_04_2006 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
dark_chocolate_brown_color is a color	1112	24-jul-2018	99.9
china_construction_bank is a company that has an office in the country china	1114	25-aug-2018	100.0
w__bush represents the region __america	1116	12-sep-2018	99.6
sk is a sate or province located in the country canada	1116	12-sep-2018	93.8
the country sri_lanka uses the currency rupees	1116	12-sep-2018	100.0
european_nations is a generalization of france_france	1115	03-sep-2018	100.0