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
guest_clinician is a job position	1111	06-jul-2018	95.2
daylily_leaves is a vegetable	1111	06-jul-2018	91.8
bruce_naumann is a visual artist	1111	06-jul-2018	91.7
demonstrating is a physical action	1111	06-jul-2018	90.8
home_theatre_magazine is a magazine	1111	06-jul-2018	99.8
spielberg directed the movie saving_private_ryan	1114	25-aug-2018	97.0
oregon_ducks is headquartered in the state or province new_york	1116	12-sep-2018	100.0
cbc is a company in the economic sector of media	1114	25-aug-2018	99.8
keturah has husband abraham	1116	12-sep-2018	93.8
the sport baseball was played at n1912_world_series	1116	12-sep-2018	100.0