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
daniela_bochmacova is a fashion model	1111	06-jul-2018	100.0
afrikanischer_safari_wildnis_park is a zoo	1111	06-jul-2018	99.7
voip_phone is an item found on a table	1111	06-jul-2018	100.0
richard_mandel is an actor	1111	06-jul-2018	91.3
ordinary_virus is a virus	1111	06-jul-2018	99.8
h__pylori is a bacteria that causes ulcer	1115	03-sep-2018	93.8
barack is a U.S. politician who holds the office of first_democratic_presidential_candidate	1111	06-jul-2018	93.8
the sports team eventual_super_bowl_champion_new_york_giants was the winner of n1922_world_series	1116	12-sep-2018	99.8
the coach brett_gardner won the trophy or tournament world_series	1115	03-sep-2018	100.0
gerry graduated from college	1114	25-aug-2018	100.0