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
expose_shower_mixer is an item often found in a bathroom	1111	06-jul-2018	99.8
david_rappaport is a director	1111	06-jul-2018	100.0
port_of_gwangyang is a transportation port	1111	06-jul-2018	100.0
lakiesha_bean is a legume	1111	06-jul-2018	97.9
dubai_crowne_plaza is a skyscraper	1111	06-jul-2018	99.9
santa_cruz is a city also known as columbia	1112	24-jul-2018	93.8
jonathan_schwartz is the CEO of sun_microsystems	1116	12-sep-2018	100.0
jeep is a specific automobile maker dealer in charleston	1114	25-aug-2018	100.0
main_street_station is a building located in the city las_vegas	1116	12-sep-2018	93.0
nancy001 is a person who has attended the school college	1112	24-jul-2018	100.0