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
american_midterm_elections is an election	1111	06-jul-2018	96.1
human_hair_wigs is a personal care product	1111	06-jul-2018	99.2
jesse_crain is an athlete	1111	06-jul-2018	100.0
ho_chi_minh_city is a location	1115	03-sep-2018	100.0
zoo_infos_de___the_german_zoo_database is a zoo	1111	06-jul-2018	99.8
knowshon_moreno and matthew_stafford are teammates	1111	06-jul-2018	93.8
john_milius is a person who has attended the school usc	1112	24-jul-2018	100.0
goa is a sate or province located in the country india	1116	12-sep-2018	100.0
japanese participated in the event result	1111	06-jul-2018	99.6
texas_instruments_incorporated is a company also known as ti	1113	15-aug-2018	93.8