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
billund_airport is a transportation port	1111	06-jul-2018	100.0
oridorsalidae is a mollusk	1111	06-jul-2018	100.0
chestnut_winged_whistling_thrush is a bird	1111	06-jul-2018	100.0
nissan_1200_engines is a kind of automobile engine	1111	06-jul-2018	100.0
koenig_360_modena is a kind of vehicle	1111	06-jul-2018	100.0
crickets is an arthropod as well as spiders also is	1114	25-aug-2018	100.0
bed is often found in casita	1116	12-sep-2018	100.0
forest is a company that has an office in the city san_francisco	1112	24-jul-2018	93.8
martina_navratilova is an athlete who beat monica_seles	1114	25-aug-2018	100.0
bernhard_schlink held the position of author	1116	12-sep-2018	100.0