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
deduction_of_inherited_farm is a farm	1111	06-jul-2018	99.8
crab_stuffed_flounder_recipe is a recipe	1111	06-jul-2018	99.6
in_the_year_2525 is a musical album	1111	06-jul-2018	100.0
discovery_girls is a publication	1111	06-jul-2018	91.7
australian_online_magazine is a magazine	1111	06-jul-2018	99.9
marquis_daniels is a person also known as eric_williams	1115	03-sep-2018	100.0
president_reagan is a U.S. politician who holds the office of assistant_secretary	1112	24-jul-2018	99.2
michelle has husband barack_obama	1116	12-sep-2018	99.2
system is a subpart of the body within way_the_brain	1111	06-jul-2018	100.0
reds is a sports team that plays the sport baseball	1116	12-sep-2018	100.0