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
northwest_arctic is a county	1111	06-jul-2018	99.9
mahalapye is a city	1111	06-jul-2018	99.8
home_writing_jobs is a building	1111	06-jul-2018	95.5
maureen_dougherty is a writer	1111	06-jul-2018	91.5
arabesque_orb_weaver is an arachnid	1111	06-jul-2018	100.0
richard_goldstone is a person who has residence in the country south_africa	1116	12-sep-2018	100.0
science concerns information	1115	03-sep-2018	100.0
emirates_stadium is related to emirates	1114	25-aug-2018	100.0
daniel_boulud_brasserie is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
golders_green is a park in the city central_london	1116	12-sep-2018	99.6