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
the_republic is a political blog	1111	06-jul-2018	99.0
first_national_bank_usa is a credit union	1111	06-jul-2018	100.0
oakland_hyundai is an automobile manufacturer	1111	06-jul-2018	99.9
new_hampshire_state is a building	1111	06-jul-2018	92.6
paterson is a city	1111	06-jul-2018	99.8
west_bengal is a state or province located in the geopolitical location india	1115	03-sep-2018	99.8
larvae feeds on dragonfly_nymphs	1115	03-sep-2018	93.8
mario_cristobal works for florida_international	1111	06-jul-2018	96.9
quezon_city is the capital city of the country the_philippines	1116	12-sep-2018	93.8
sheep is an agricultural product grown in area	1113	15-aug-2018	93.8