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
noon_conference is a conference	1111	06-jul-2018	99.4
lanxess_arena_los_angeles_memorial_sports_arena is a stadium or event venue	1111	06-jul-2018	100.0
peatlands can be a part of a landscape	1111	06-jul-2018	99.6
la_crosse_kansas is an island	1111	06-jul-2018	96.3
the_detroit_zoo is an aquarium	1111	06-jul-2018	100.0
uterus is a subpart of blood	1111	06-jul-2018	99.9
general_motors is a company also known as gm	1114	25-aug-2018	100.0
the home stadium of mark_grace is wrigley_field	1116	12-sep-2018	100.0
reuben and eleazar_the_priest are siblings	1113	15-aug-2018	93.8
oscar_wilde wrote the book a_woman_of_no_importance	1113	15-aug-2018	100.0