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
n2_1__ is a machine-learning algorithm	1111	06-jul-2018	99.4
n12244 is a ZIP code	1111	06-jul-2018	99.8
forum_for_the_restoration_of_democracy_kenya is a political party	1111	06-jul-2018	100.0
hong_kong_polytechnic_university is a school	1116	12-sep-2018	99.2
nia_vardalos is a Canadian person	1111	06-jul-2018	93.8
virgina is a sate or province located in the country u_s_	1116	12-sep-2018	93.8
juliette_binoche belongs to the ethnic group french	1116	12-sep-2018	100.0
animals is an agricultural product grown in region	1116	12-sep-2018	100.0
interactions participated in the event result	1112	24-jul-2018	99.8
youtube hired chen	1111	06-jul-2018	100.0