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
onions___garlic is a vegetable	1111	06-jul-2018	91.9
n22_08 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
shop_comments is a product	1111	06-jul-2018	93.2
contrapposizione is a wine	1111	06-jul-2018	99.2
song_huong_restaurant is a restaurant	1111	06-jul-2018	100.0
the sport baseball was played at n1952_world_series	1116	12-sep-2018	100.0
meridia is a drug worked on by abbot_laboratories	1114	25-aug-2018	100.0
eve and garden are family members	1111	06-jul-2018	99.6
chris_hughes has wife amanda	1116	12-sep-2018	93.8
ryan_phillippe is related to ryan_phillippe	1116	12-sep-2018	100.0