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
hebron_agreement is a TV show	1111	06-jul-2018	100.0
circulation_loss is a disease	1111	06-jul-2018	94.2
vmi_wheelchair is a product	1111	06-jul-2018	93.8
sheri_abrams is an actor	1111	06-jul-2018	91.2
viking_death_metal is a genre of music	1111	06-jul-2018	99.2
esquire_magazine is a company headquartered in the city new_york	1116	12-sep-2018	100.0
the_press is a newspaper in the city los_angeles_ca	1116	12-sep-2018	100.0
bed is often found in bathroom_unit	1111	06-jul-2018	93.8
j_p__arencibia is a person also known as j_p__howell	1115	03-sep-2018	100.0
jim_dwyer is a journalist that writes for the publication new_york_times	1113	15-aug-2018	100.0