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
wheat_curl_mite is an arthropod	1111	06-jul-2018	99.2
reverse_telephone is an item found on a table	1111	06-jul-2018	99.9
khabarovskiy is a state or a province	1111	06-jul-2018	98.4
home_lincoln is a location	1115	03-sep-2018	92.0
alarm_clock_radiuo is an item often found in a bedroom	1111	06-jul-2018	99.8
diet can cause blood_sugar	1113	15-aug-2018	100.0
bugs feeds on spider_mites	1111	06-jul-2018	98.4
kevin_rudd held the position of prime_minister	1115	03-sep-2018	100.0
japanese_language is spoken in the city tokyo	1113	15-aug-2018	100.0
service is headquartered in the country u_s_	1116	12-sep-2018	100.0