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
light_photons is a perception event	1111	06-jul-2018	98.0
saint_george_serbian_eastern_orthodox_church is a religion	1111	06-jul-2018	100.0
black_capped_squirrel_monkey is a mammal	1111	06-jul-2018	100.0
serials_review is a publication	1111	06-jul-2018	91.1
joseph_sullivan is an architect	1111	06-jul-2018	99.5
koji_uehara plays the sport baseball	1116	12-sep-2018	99.9
jeep is a specific automobile maker dealer in virginia	1114	25-aug-2018	100.0
n160 is the number of people injured in the event aleppo_university_bombings	1116	12-sep-2018	100.0
kyoto_aquarium is an aquarium in the city los_angeles_ca	1116	12-sep-2018	100.0
mary has husband jack	1116	12-sep-2018	99.6