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
bud_abbott is a commedian	1111	06-jul-2018	100.0
it_s_alright is a musical album	1111	06-jul-2018	100.0
extensor_wad_of_three_muscles is a muscle	1111	06-jul-2018	99.6
point_park_university is a university	1111	06-jul-2018	100.0
spanish_books is a kind of media	1111	06-jul-2018	99.7
european_nations is a generalization of uk_	1116	12-sep-2018	98.4
william_safire is a journalist that writes for the publication new_york_times	1111	06-jul-2018	100.0
language_spanish is the language of the country costa_rica	1116	12-sep-2018	93.8
the home stadium of adam_burish is wrigley_field	1116	12-sep-2018	100.0
paul is a musician who is part of clash	1111	06-jul-2018	93.8