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
n2006___this_study is a research project	1111	06-jul-2018	98.5
green_front_door is an item often found in a hallway	1111	06-jul-2018	99.7
mitsubishi_motors_australie is an automobile manufacturer	1111	06-jul-2018	99.0
oaxacan_cat_eyed_snake is a reptile	1111	06-jul-2018	100.0
dime_box_restaurant is a restaurant	1111	06-jul-2018	100.0
ski is a sport taught in the country india	1115	03-sep-2018	100.0
baltimore_colts_in_super_bowl_iii is headquartered in the state or province new_york	1116	12-sep-2018	100.0
subclavian_artery arises from brachiocephalic_trunk	1116	12-sep-2018	100.0
pork_belly is related to pig	1114	25-aug-2018	100.0
eve and garden are family members	1111	06-jul-2018	99.6