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
timegatecon is a convention	1111	06-jul-2018	99.9
comments_review is software used by machine-learning scientists	1111	06-jul-2018	99.6
academic_misconduct ia a crime or charge	1111	06-jul-2018	100.0
importantrole is a musical instrument	1111	06-jul-2018	95.0
adam_berger is an African person	1111	06-jul-2018	93.8
ronald_reagan_national_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
national is a company that has an office in the country chile	1114	25-aug-2018	100.0
japanese_language is spoken in the city tokyo	1113	15-aug-2018	100.0
spiders is called widow_spiders	1111	06-jul-2018	100.0
new_york_stock_exchange terminated the employment of richard_grasso	1113	15-aug-2018	100.0