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
hotel_san_francesco_al_monte is a hotel	1111	06-jul-2018	94.7
afferent_branchial_vein is a vein	1111	06-jul-2018	95.5
supreme_court_friday is a part of the government	1111	06-jul-2018	95.6
mov_to_avi_mpeg_wmv_converter is a consumer electronic device	1111	06-jul-2018	99.9
m__comments is a product	1111	06-jul-2018	94.7
grapes is an agricultural product produced in __america	1116	12-sep-2018	96.5
the coach mark_grudzielanek won the trophy or tournament world_series	1115	03-sep-2018	100.0
sausage_shank is related to pig	1114	25-aug-2018	100.0
gary_sheffield plays the sport baseball	1116	12-sep-2018	99.2
biceps a muscle located in bodypart arms	1115	03-sep-2018	100.0