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
rss_home_map_home is a location	1111	06-jul-2018	99.5
musculoskeletal_trauma is a disease	1111	06-jul-2018	97.0
internet_credit_card is an office supply	1111	06-jul-2018	90.1
n01_14_2005 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
conjunction_engineering is an area of study within the field of machine learning	1111	06-jul-2018	99.9
general_motors is a company also known as gm	1114	25-aug-2018	100.0
dramatic_literature is an academic program at the university college	1112	24-jul-2018	96.9
ldv is a specific automobile maker dealer in _uk	1116	12-sep-2018	98.4
john_adams has wife abigail	1116	12-sep-2018	99.6
sun is the father of uranus	1116	12-sep-2018	100.0