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
fairbanks_valley_farms is a farm	1111	06-jul-2018	99.8
way_the_door is an item often found in a hallway	1111	06-jul-2018	99.7
sub_sections is a legislative bill	1111	06-jul-2018	100.0
seven_chairs is a kind of furniture	1111	06-jul-2018	100.0
edward_e__lewis is an astronaut	1111	06-jul-2018	100.0
n160 is the number of people injured in the event aleppo_university_bombings	1116	12-sep-2018	100.0
gates___hillman_centers is a building belonging to cmu	1116	12-sep-2018	100.0
browns_stadium is a stadium or event venue also known as brown_stadium	1112	24-jul-2018	100.0
toyota is a specific automobile maker dealer in pennsylvania	1115	03-sep-2018	100.0
cells is a subpart of the body within umbilical_cord	1111	06-jul-2018	100.0