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
bayberry_road is a street	1111	06-jul-2018	100.0
n05_07_2010 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
morton_williams_supermarkets is a retail store	1111	06-jul-2018	99.5
beans_baked_beans is a fruit	1111	06-jul-2018	99.4
william_collier is a journalist	1111	06-jul-2018	100.0
usc is a sports team that plays against stanford	1111	06-jul-2018	100.0
kvue_tv is headquartered in the city austin	1116	12-sep-2018	100.0
soldier_field is a tourist attraction in the city chicago_south	1116	12-sep-2018	99.0
chery is a specific automobile maker dealer in china	1111	06-jul-2018	100.0
dan is a person who moved to the state utah	1112	24-jul-2018	98.5