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
shawanda_bean is a legume	1111	06-jul-2018	97.9
hotel_boboli is a place to ski	1111	06-jul-2018	90.7
n10_9 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
round_eared_tube_nosed_bat is a mammal	1111	06-jul-2018	100.0
eca_countries is a country	1111	06-jul-2018	95.9
lotus is a specific automobile maker dealer in _uk	1115	03-sep-2018	99.9
ford is a company that produces probe	1114	25-aug-2018	100.0
journalism_and_mass_communication is a type of science	1112	24-jul-2018	100.0
ferdinand has citizenship in the country romania	1112	24-jul-2018	96.9
the coach chris_cooley won the trophy or tournament super_bowl	1113	15-aug-2018	100.0