Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
grand_prix_triberg_schwarzwald is a sporting event	1111	06-jul-2018	100.0
rights_education_activities is a political issue	1111	06-jul-2018	100.0
saeed_tower_i is a skyscraper	1111	06-jul-2018	99.9
kara_david is a writer	1111	06-jul-2018	91.1
national_women_s_business_council is a political organization that is not part of the government	1111	06-jul-2018	100.0

onion is related to india	1115	03-sep-2018	100.0
mizoram is a sate or province located in the country india	1116	12-sep-2018	100.0
egypt is a country also known as china	1111	06-jul-2018	93.8
steinhart_aquarium is an aquarium in the city san_francisco	1116	12-sep-2018	100.0
oscar_wilde wrote the book the_picture_of_dorian_grey	1113	15-aug-2018	96.9

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts