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
venezuela___miranda is a country	1111	06-jul-2018	96.9
chris_navi is an actor	1111	06-jul-2018	91.3
two_horn_decorator_crab is a crustacean	1111	06-jul-2018	99.6
n2_09_pm_0_comments is a dataset used within the scientific field of machine learning	1111	06-jul-2018	95.6
district_court_judge is a part of the government	1111	06-jul-2018	100.0
head_and_neck_surgery is an academic program at the university college	1112	24-jul-2018	96.9
courier_journal is a newspaper in the city louisville	1116	12-sep-2018	93.8
the sports leage first_nascar uses the venue daytona	1113	15-aug-2018	93.8
jack_morris plays the sport baseball	1116	12-sep-2018	93.7
oregon_ducks is a sports team that won the stanley_cup	1113	15-aug-2018	100.0