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
_50000 is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
light_leaves is a vegetable	1111	06-jul-2018	92.3
marshyhope_creek is a river	1111	06-jul-2018	100.0
kathleen_flinn is a chef	1111	06-jul-2018	99.9
world_stock is a building	1111	06-jul-2018	95.7
chrysler makes the automobile sebring	1114	25-aug-2018	99.3
gerome_ragni died in the state or province new_york	1116	12-sep-2018	100.0
ge has acquired enron	1114	25-aug-2018	93.8
general_motors is a company headquartered in the city detroit	1116	12-sep-2018	100.0
abudl_karim_al_khawinay belongs to the ethnic group yemeni	1116	12-sep-2018	100.0