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
david_kellogg is a male	1111	06-jul-2018	90.7
trang_ho is american	1111	06-jul-2018	91.6
beetroot_juice is a beverage	1111	06-jul-2018	100.0
n2_778 is a programming language	1111	06-jul-2018	97.2
hair_dryer_of is a personal care product	1111	06-jul-2018	96.2
sonny_boy_williamson is a musician in the genre blues	1113	15-aug-2018	93.8
great_vow_zen_monastery is a place of worship that practices the religion of buddhism	1116	12-sep-2018	100.0
target_corp is a company also known as amazon_com	1114	25-aug-2018	93.8
peking_duck_house_restaurant is a restaurant in the city los_angeles_ca	1116	12-sep-2018	100.0
rca terminated the employment of clive_davis001	1114	25-aug-2018	100.0