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
scallops_pasta_recipe is a recipe	1111	06-jul-2018	99.6
francesco_nenci is an architect	1111	06-jul-2018	100.0
pea_plant is a fruit	1111	06-jul-2018	99.9
dengue_fever_viruses is a virus	1111	06-jul-2018	97.7
aiseesoft_flac_to_mp3_converter_for_mac is a video game system	1111	06-jul-2018	98.9
greg_norman_and_ted_robinson is an athlete who wins australian_open	1114	25-aug-2018	100.0
lehman_brothers is headquartered in the city nueva_york	1116	12-sep-2018	100.0
states is a state or province located in the geopolitical location south_america	1111	06-jul-2018	100.0
ge has acquired enron	1114	25-aug-2018	93.8
telegraph is related to www_miamiherald_com	1116	12-sep-2018	100.0