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
ricarda_bean is a fruit	1111	06-jul-2018	98.8
bismuth_bromide is a chemical	1111	06-jul-2018	100.0
a_sense_of_hopefulness is an emotion	1111	06-jul-2018	95.3
american_institute_of_graphic_artists is a professional organization	1111	06-jul-2018	100.0
italian_progressive_rock is a genre of music	1111	06-jul-2018	99.4
peachtree_street is a street in the city atlanta	1116	12-sep-2018	100.0
l__a__times is a company headquartered in the city new_york	1116	12-sep-2018	99.8
toronto_star is a newspaper in the city toronto	1116	12-sep-2018	100.0
ontario is a state or province located in the geopolitical location north_america	1111	06-jul-2018	99.9
recluse_spider is an arthropod as well as brown_recluse also is	1111	06-jul-2018	100.0