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
jonathan_fortune is a journalist	1111	06-jul-2018	100.0
buffalo_fire_department_federal_credit_union is a credit union	1111	06-jul-2018	100.0
jennifer_darling is a commedian	1111	06-jul-2018	96.2
fort_dodge_iowa is an island	1111	06-jul-2018	97.6
unembarrassedness is an emotion	1111	06-jul-2018	97.8
biblical_hebrew is the language of the country israel	1114	25-aug-2018	100.0
tyler_colvin plays for the team chicago_cubs	1116	12-sep-2018	100.0
toilets is often found in rooms	1111	06-jul-2018	100.0
rob_ford is a person who has residence in the geopolitical location toronto	1113	15-aug-2018	100.0
right_triangle has shape area	1112	24-jul-2018	93.8