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
northern_pinesnake is a reptile	1111	06-jul-2018	100.0
square_curve is a geometric shape	1111	06-jul-2018	94.2
bbw_magazine is a magazine	1111	06-jul-2018	99.9
david_boud is a professor	1111	06-jul-2018	96.0
the_folsom_telegraph is a political blog	1111	06-jul-2018	99.7
theodore_roosevelt is a politician who holds the office of president	1115	03-sep-2018	100.0
santa_cruz is a city also known as tenerife	1112	24-jul-2018	98.4
germany is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	99.2
minnesota hired dan_monson	1112	24-jul-2018	93.8
brewers is a sports team that plays the sport baseball	1116	12-sep-2018	100.0