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
william_rohr is a journalist	1111	06-jul-2018	100.0
gauge_paper is an office supply	1111	06-jul-2018	92.9
aspen_engineering is an area of study within the field of machine learning	1111	06-jul-2018	100.0
center_hose is a sports team position	1111	06-jul-2018	99.1
sendai_city_museum is a museum	1111	06-jul-2018	96.3
jane_wyman is related to jane_wyman	1116	12-sep-2018	100.0
the country ethiopia uses the currency dollars	1116	12-sep-2018	100.0
dodge is a specific automobile maker dealer in maryland	1115	03-sep-2018	96.9
canadian_islamic_congress is an organization known by the acronym cic	1114	25-aug-2018	100.0
international_journal is an organization also known as rights	1111	06-jul-2018	93.8