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
pieter_lodewijk_kramer is an architect	1111	06-jul-2018	100.0
merkel_cell_cancer is a disease	1111	06-jul-2018	100.0
blueside_shiner is a fish	1111	06-jul-2018	100.0
lobelia_tea is a beverage	1111	06-jul-2018	100.0
michael_morales is a criminal	1111	06-jul-2018	100.0
u_s is a bank that has richard_davis as its CEO	1116	12-sep-2018	100.0
crustaceans is a type of small_animals	1113	15-aug-2018	100.0
the coach jason_campbell won the trophy or tournament super_bowl	1115	03-sep-2018	100.0
raptors is a sports team that played in series	1111	06-jul-2018	99.2
dell_inc terminated the employment of michael_dell	1113	15-aug-2018	100.0