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
chiapan_rough_scaled_lizard is a reptile	1111	06-jul-2018	100.0
purebred_puppies is a vertebrate	1112	24-jul-2018	91.9
finished_with_the_dogs is a musical album	1111	06-jul-2018	100.0
legal_council is a professional organization	1111	06-jul-2018	100.0
vida_music_festival_tucson is a music festival	1111	06-jul-2018	100.0
ryan and ben_roethlisberger are teammates	1111	06-jul-2018	93.8
kzok_fm is a radio station in the city seattle	1116	12-sep-2018	99.9
san_francisco participated in the event series	1113	15-aug-2018	100.0
mother is the mother of joseph001	1115	03-sep-2018	100.0
john_steinbeck wrote the book the_winter_of_our_discontent	1111	06-jul-2018	100.0