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
n17_nation_euro is a currency	1111	06-jul-2018	95.5
the_belize_times is a political blog	1111	06-jul-2018	99.2
greenwich_town_centre is a skyscraper	1111	06-jul-2018	99.9
elm_lake is a lake	1111	06-jul-2018	100.0
two_extenders is a parlour game	1111	06-jul-2018	90.5
presbyterian is a hospital in the city new_york	1116	12-sep-2018	100.0
british_council is a museum in the city delhi	1116	12-sep-2018	100.0
colin_hay is a musician who is part of men_at_work	1111	06-jul-2018	96.9
middle a muscle located in bodypart arms	1115	03-sep-2018	99.6
patrick_swayze starred in the movie dirty_dancing	1115	03-sep-2018	100.0