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
seth_mcclung is an Asian person	1111	06-jul-2018	100.0
hot_shots_golf_3 is software	1111	06-jul-2018	100.0
houston_baptist_university is a sports team	1111	06-jul-2018	100.0
appetizers_cooking_recipes is a recipe	1111	06-jul-2018	99.5
albert_e__austin is a monarch	1111	06-jul-2018	97.8
larger_pets is an animal that is a kind of dogs	1112	24-jul-2018	100.0
kaza is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	99.9
spagnuolo is a person who belongs to the organization new	1111	06-jul-2018	95.3
pork_shoulder is related to pig	1114	25-aug-2018	100.0
national is a bank in china	1114	25-aug-2018	100.0