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
main_opposition_united_national_party is a political organization that is not part of the government	1111	06-jul-2018	100.0
matt_glassman is a professor	1111	06-jul-2018	90.9
n51_2_hours is a non-sports, non-electronic game	1111	06-jul-2018	98.3
robert_mcarthur is a writer	1111	06-jul-2018	91.2
amberland_plaza is a skyscraper	1111	06-jul-2018	99.8
former_green_bay_packers is a sports team that played in championship	1113	15-aug-2018	100.0
claridges is a hotel in the city central_london	1116	12-sep-2018	100.0
circut_city is headquartered in the city richmond	1116	12-sep-2018	100.0
jordan_danks is an athlete who injured his/her shoulder	1113	15-aug-2018	100.0
states is a state or province located in the geopolitical location las_vegas	1115	03-sep-2018	99.5