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
recources is a visualizable object	1111	06-jul-2018	98.7
first_story_window is an item found on a wall	1111	06-jul-2018	100.0
wcwn is a TV station	1111	06-jul-2018	99.0
katy_braitman is a female	1111	06-jul-2018	99.9
tim_dekay is a commedian	1111	06-jul-2018	100.0
the companies chronicle and herald compete with eachother	1111	06-jul-2018	93.8
seattle_seahawks_21_10 is a sports team that won the superbowl	1113	15-aug-2018	100.0
ing is a company that has an office in the country scotland	1114	25-aug-2018	93.8
jack_morris plays the sport baseball	1116	12-sep-2018	93.7
the_believer is headquartered in the city new_york	1116	12-sep-2018	93.8