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
legal_council is a professional organization	1111	06-jul-2018	100.0
d_v_mccurdy_farm is a farm	1111	06-jul-2018	99.9
morgan_stanley is an organization	1114	25-aug-2018	100.0
southbay_shopping_center is a shopping mall	1111	06-jul-2018	100.0
wheat_couscous_breakfast_cereal is a grain	1111	06-jul-2018	90.5
english is a language used in the university harvard	1116	12-sep-2018	100.0
franklin_delano_roosevelt is a politician who holds the office of president	1114	25-aug-2018	100.0
edgar_froese is a musician who plays the guitar	1113	15-aug-2018	93.8
arabic is the language of the country palestine	1114	25-aug-2018	99.6
shower is often found in indoor_bathroom	1111	06-jul-2018	93.8