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
navy_marine_corps_stadium is a stadium or event venue	1111	06-jul-2018	100.0
timber_table is an item found on the floor	1111	06-jul-2018	99.7
christian_cunningham is a professor	1111	06-jul-2018	90.9
quintus___montreal_italian_film_festival is a film festival	1111	06-jul-2018	100.0
rick_tanzo is an African person	1111	06-jul-2018	90.5
c_j__chivers is a journalist that writes for the publication new_york_times	1111	06-jul-2018	98.4
assam is a state or province located in the geopolitical location india	1115	03-sep-2018	100.0
science concerns management_information	1113	15-aug-2018	100.0
boston_bruins is a sports team that plays against usc	1111	06-jul-2018	98.6
wjz is a radio station in the city new_york	1116	12-sep-2018	100.0