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
ireland_laois is a country	1111	06-jul-2018	98.4
brion_james is a Canadian person	1111	06-jul-2018	100.0
sichuan_salamander is an amphibian	1111	06-jul-2018	100.0
let_s_do_it_again is a song	1111	06-jul-2018	100.0
excursions is a hobby	1111	06-jul-2018	99.8
the companies examiner and los_angeles compete with eachother	1111	06-jul-2018	100.0
cells is a subpart of the body within body_needs	1111	06-jul-2018	93.8
toronto_zoo is a zoo in the city toronto	1116	12-sep-2018	100.0
pudong is a city that lies on the river huangpu	1111	06-jul-2018	100.0
eli_manning is an athlete who wins super_bowl	1113	15-aug-2018	100.0