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
audio_comments is software used by machine-learning scientists	1112	24-jul-2018	100.0
dominika_volfova is a fashion model	1111	06-jul-2018	100.0
christina_cabot is a commedian	1111	06-jul-2018	91.4
cialis_40 is an archaeon	1111	06-jul-2018	90.0
sclerodactylidae is a mollusk	1111	06-jul-2018	100.0
kiffin is a person who belongs to the organization usc	1111	06-jul-2018	98.4
john_steinbeck wrote the book grapes_of_wrath	1111	06-jul-2018	100.0
aorta arises from ventricle	1116	12-sep-2018	100.0
meyer is a person who graduated from the university college	1114	25-aug-2018	93.8
chrysler is a specific automobile maker dealer in new_york	1114	25-aug-2018	100.0