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
barbara_flynn is a female	1111	06-jul-2018	92.0
watercolor_artist_s_magazine is a magazine	1111	06-jul-2018	99.8
robinson_tejeda is an athlete	1111	06-jul-2018	100.0
n02_27_2011 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
joe_sullivan is a CEO	1111	06-jul-2018	100.0
wigmore_hall is a tourist attraction in the city central_london	1116	12-sep-2018	100.0
tim_burton directed the movie batman_returns	1115	03-sep-2018	100.0
belgium is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	93.8
town was born in new_south_wales	1116	12-sep-2018	100.0
the sport baseball was played at n1996_world_series	1116	12-sep-2018	100.0