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
hobby_grade_radio is an item often found in a bedroom	1111	06-jul-2018	99.9
video_slots is a non-sports, non-electronic game	1111	06-jul-2018	96.2
kindred_magazine is a magazine	1111	06-jul-2018	99.9
_210_00 is a year	1111	06-jul-2018	100.0
texas_hod_em is a cardgame	1111	06-jul-2018	91.7
closets is often found in site	1116	12-sep-2018	93.8
toni_morrison contributed to the creative work song_of_solomon	1112	24-jul-2018	93.8
black_widow is an arthropod as well as widow_spiders also is	1111	06-jul-2018	100.0
the home stadium of marian_hossa is wrigley_field	1116	12-sep-2018	100.0
john_banville wrote the book the_sea	1111	06-jul-2018	93.8