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
gaston_college is a sports team	1111	06-jul-2018	100.0
dorm_doors is something found in or on buildings	1111	06-jul-2018	98.6
romantic_master_bedroom is an office building room	1111	06-jul-2018	96.5
mary_hale ia a celebrity	1111	06-jul-2018	90.4
n11_29 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
cyrenius is a person who has residence in the geopolitical location syria	1113	15-aug-2018	99.6
al_capone is a criminal arrested in country united_states_of_america	1116	12-sep-2018	100.0
lemon is an agricultural product that is usually cooked with salt	1113	15-aug-2018	99.2
the sports leage busch_series uses the venue bristol_motor_speedway	1114	25-aug-2018	100.0
national is a bank in jordan	1114	25-aug-2018	100.0