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
mark_stewart is a Mexican person	1111	06-jul-2018	100.0
open_rear_door is an item often found in a hallway	1111	06-jul-2018	99.7
leucosiidae is an insect	1111	06-jul-2018	100.0
brant_brown coaches a sports team	1111	06-jul-2018	98.2
radio_equipment is an item often found in a bedroom	1111	06-jul-2018	100.0
virgil was born in rome	1116	12-sep-2018	100.0
football is a sport played in the venue giant_stadium	1113	15-aug-2018	100.0
nicole_kidman has husband keith_urban	1116	12-sep-2018	100.0
jay_smith is a person who has residence in the state or province texas	1114	25-aug-2018	100.0
the coach a_j__burnett won the trophy or tournament world_series	1115	03-sep-2018	100.0