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
scott_d__tingle is an astronaut	1111	06-jul-2018	100.0
free_cell_phone is an item found on a table	1111	06-jul-2018	99.8
electronics_packaging is an economic sector	1111	06-jul-2018	99.8
franchise_defenseman is a sports team position	1111	06-jul-2018	98.9
moraca_river_millennium_bridge is a bridge	1111	06-jul-2018	96.8
pierce_brosnan starred in the movie thomas_crown_affair	1115	03-sep-2018	99.7
triangle has shape interior_angles	1112	24-jul-2018	93.8
bountiful is a subpart of utah	1111	06-jul-2018	96.9
xom_ is a company also known as exxonmobil001	1114	25-aug-2018	100.0
james has brother john	1116	12-sep-2018	100.0