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
iftu_affiliated_unions is a trade union	1111	06-jul-2018	90.2
scottish_national_liberation_army is a political party	1111	06-jul-2018	100.0
lakiesha_bean is a legume	1111	06-jul-2018	97.9
mountain_gorges can be a part of a landscape	1111	06-jul-2018	99.7
center_acceptance is a sports team position	1111	06-jul-2018	98.8
community_arts is an academic program at the university college	1111	06-jul-2018	96.9
mary and god_the_father are family members	1111	06-jul-2018	98.4
bugs feeds on spider_mites	1111	06-jul-2018	98.4
kgo is a company that has an office in the city san_francisco	1112	24-jul-2018	100.0
museum_of_modern_art is a museum in the city new_york	1116	12-sep-2018	100.0