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
interface_part_parameters is a machine-learning conference	1111	06-jul-2018	98.0
woolworth__s_department_store is a retail store	1111	06-jul-2018	99.7
anurag_tyagi is an actor	1111	06-jul-2018	91.1
snow_white is a TV show	1111	06-jul-2018	100.0
queens_courier is a website	1111	06-jul-2018	91.9
danny_boyle contributed to the creative work slumdog_millionaire	1111	06-jul-2018	99.3
melody_petersen is a journalist that writes for the publication new_york_times	1113	15-aug-2018	93.8
jerry_sloan coaches in the league nba	1116	12-sep-2018	100.0
sony is a company in the economic sector of large_electronics	1111	06-jul-2018	93.8
shellfish feeds on crabs	1116	12-sep-2018	100.0