Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
individual_nerves is a nerve	1111	06-jul-2018	98.9
virginia_beach_resort_hotel is a place to ski	1111	06-jul-2018	90.1
center_coordinator is a kind of office held by a politician	1111	06-jul-2018	100.0
survey_students is a victim	1111	06-jul-2018	100.0
michaels is a retail store	1111	06-jul-2018	93.3

soccer is a sport played in the venue wembley_stadium	1116	12-sep-2018	100.0
management is an academic program at the university state_university	1114	25-aug-2018	100.0
eventual_super_bowl_champion_new_york_giants is headquartered in the state or province ny	1116	12-sep-2018	100.0
newsday is a newspaper in the city new_york	1116	12-sep-2018	100.0
william_gates_iii is the CEO of microsoft	1116	12-sep-2018	98.4

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts