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
muktinath_temple is a place of worship	1112	24-jul-2018	99.7
ulverston is a city	1111	06-jul-2018	99.9
class_places is a machine-learning conference	1111	06-jul-2018	92.1
shane_williss is a European person	1111	06-jul-2018	91.3
academic_course_requirements is a political issue	1111	06-jul-2018	91.3
jeremiah_trotter is an athlete who led eagles	1116	12-sep-2018	93.8
paul is a musician who is part of joe_cocker	1115	03-sep-2018	93.8
ginger is related to india	1115	03-sep-2018	100.0
wallace is a person who graduated from the university college	1112	24-jul-2018	93.8
calgery_zoo is a zoo in the city calgery	1116	12-sep-2018	100.0