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
ground_whole_wheat_flour is an agricultural product	1111	06-jul-2018	98.9
sliced_pork is a type of meat	1111	06-jul-2018	99.6
del_valle_restaurant is a restaurant	1111	06-jul-2018	100.0
order_14 is a legislative bill	1111	06-jul-2018	98.3
university_comments is software used by machine-learning scientists	1111	06-jul-2018	99.6
alan_mulally is the CEO of the automobile maker company ford_motor_co	1116	12-sep-2018	100.0
dan is a person who has attended the school state	1112	24-jul-2018	93.8
mike_aviles is an athlete that flied out to position center	1111	06-jul-2018	100.0
recluse_spider is an arthropod as well as recluse also is	1111	06-jul-2018	100.0
dragonflies is an animal that is a kind of bugs	1111	06-jul-2018	96.9