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
chair_designs is a kind of furniture	1111	06-jul-2018	99.8
sligo_festival_of_baroque_music is a music festival	1111	06-jul-2018	100.0
antique_brass_bathroom_faucet is an item often found in a bathroom	1111	06-jul-2018	99.8
beetroot_juice is a beverage	1111	06-jul-2018	100.0
alberto_fujimori is a monarch	1111	06-jul-2018	98.2
main_street_station is a building located in the city las_vegas	1116	12-sep-2018	93.0
ny_mets is headquartered in the state or province ny	1116	12-sep-2018	96.9
rome is a city located in the geopolitical location italy	1112	24-jul-2018	99.9
sweats is a clothing item to go with socks	1111	06-jul-2018	98.4
pulses is related to india	1115	03-sep-2018	100.0