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
malpractice_suite is a kind of room	1111	06-jul-2018	99.3
truculentness is a character trait	1111	06-jul-2018	99.4
kbmq is a radio station	1111	06-jul-2018	96.9
jaguar_xj6_engines is a kind of automobile engine	1111	06-jul-2018	100.0
melvin_smith is an athlete	1111	06-jul-2018	100.0
rajendra_pachauri is a person who has residence in the geopolitical location india	1115	03-sep-2018	100.0
chris_volstad plays for the team chicago_cubs	1116	12-sep-2018	96.9
sonoran_sea_aquarium is an aquarium in the city tucson	1116	12-sep-2018	100.0
sue_grafton contributed to the creative work a_is_for_alibi	1111	06-jul-2018	100.0
barry_bonds has been charged with perjury	1113	15-aug-2018	100.0