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
nbc_affiliates is a company	1111	06-jul-2018	100.0
suboxone_or_subutex is a product	1111	06-jul-2018	93.8
malgwa_dialect is a language	1111	06-jul-2018	98.7
n03_04_2006 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
education_history is an academic field	1111	06-jul-2018	100.0
gm is a company also known as general_motors	1114	25-aug-2018	100.0
gerry graduated from college	1114	25-aug-2018	100.0
pearson is a company in the economic sector of education	1114	25-aug-2018	93.8
robert_heinlein contributed to the creative work stranger_in_a_strange_land	1112	24-jul-2018	99.6
dodgers is a sports team that won the world_series	1115	03-sep-2018	100.0