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
submersed_leaves is a vegetable	1111	06-jul-2018	94.3
karen_thatcher is a commedian	1111	06-jul-2018	90.8
paul_s__weitz is an astronaut	1111	06-jul-2018	100.0
n2_corinthians_8_9 is an ethnic group	1111	06-jul-2018	97.2
gray_leaf_eared_mouse is a vertebrate	1111	06-jul-2018	100.0
michael_bloomberg represents the region nueva_york	1114	25-aug-2018	100.0
john_f__kennedy_international is an attraction that will be fall in city manhattan	1116	12-sep-2018	100.0
dnrec is headquartered in the country us	1116	12-sep-2018	100.0
braden_looper plays the sport baseball	1116	12-sep-2018	100.0
digital_equipment is a company also known as dec	1114	25-aug-2018	100.0