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
asia_plaza_hotel is a skyscraper	1111	06-jul-2018	99.9
youtube is a website	1111	06-jul-2018	100.0
chen_shu_cheng is an Asian person	1111	06-jul-2018	99.9
panini_sandwich_recipes is a recipe	1111	06-jul-2018	99.7
class_savers is a machine-learning conference	1111	06-jul-2018	96.2
article has citizenship in the country abm_treaty	1114	25-aug-2018	100.0
san_antonio_international_airport is a tourist attraction in the city san_antonio	1116	12-sep-2018	93.8
kendall_hunter and receiver_dez_bryant are teammates	1111	06-jul-2018	93.8
connections looks like telephone	1113	15-aug-2018	93.8
eurostar is a transportation system located in the city new_south_wales	1116	12-sep-2018	100.0