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
rapolano_terme is a visualizable object	1111	06-jul-2018	98.8
robert_purdie is an author in the scientific field of machine learning	1111	06-jul-2018	91.1
palestinian_president_yasser_arafat is a terrorist organization	1111	06-jul-2018	99.5
casual_shots is a weapon	1111	06-jul-2018	95.5
imate_texas is a non-sports, non-electronic game	1111	06-jul-2018	94.2
ectoparasites is an animal that preys on lice	1111	06-jul-2018	100.0
jobs is a person who moved to the state idaho	1115	03-sep-2018	99.9
chicago_o_hare is an attraction that will be fall in city chicago_south	1116	12-sep-2018	96.9
xml_feed_tweet_seattle_mariners is a sports team that played in games	1113	15-aug-2018	100.0
enoch and jared are family members	1113	15-aug-2018	100.0