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
n21_years is a sporting event	1112	24-jul-2018	100.0
high_quality_home is a location	1112	24-jul-2018	99.6
chief_justice_sarath_silva is a judge	1111	06-jul-2018	97.2
blender_hollandaise_sauterne is a condiment	1111	06-jul-2018	99.8
baton_rouge_louisiana is a visualizable scene	1111	06-jul-2018	99.5
crickets is an arthropod that feeds on insects	1114	25-aug-2018	100.0
english is the language of the country hong_kong	1114	25-aug-2018	100.0
takeo_fukui is the CEO of honda	1116	12-sep-2018	100.0
expensive_suit is a clothing item to go with hat	1111	06-jul-2018	93.8
elizabeth is the mother of john_the_baptist	1116	12-sep-2018	100.0