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
falls_shopping_center is a shopping mall	1111	06-jul-2018	100.0
discussion_the_meeting is a perception action	1111	06-jul-2018	96.4
party_list_election is an election	1111	06-jul-2018	98.0
prevailing_summer_wind is a weather phenomenon	1111	06-jul-2018	99.4
the_real_roseanne_show is a TV show	1111	06-jul-2018	99.9
screen looks like n3_	1112	24-jul-2018	99.6
the sports team chicago_cubs was the winner of n1908_world_series	1116	12-sep-2018	100.0
sweets can cause cavities	1114	25-aug-2018	100.0
bed is often found in northeast_bedroom	1115	03-sep-2018	93.8
kommersant_daily is a newspaper in the city moscow	1116	12-sep-2018	96.9