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
greenville_hospital_system_university_medical_center is a hospital	1111	06-jul-2018	90.6
raf_akrotiri is an airport	1111	06-jul-2018	90.2
n0_0_2 is a machine-learning algorithm	1111	06-jul-2018	99.3
overservileness is a physical characteristic	1112	24-jul-2018	100.0
folk_trip_pop is a genre of music	1111	06-jul-2018	98.6
pulses is related to india	1115	03-sep-2018	100.0
spaghetti_straps is a clothing item to go with dresses	1111	06-jul-2018	93.8
david_lynch directed the movie eraserhead	1115	03-sep-2018	99.7
algiers is a city located in the geopolitical location algeria	1114	25-aug-2018	100.0
miguel_de_cervantes_saavedra contributed to the creative work don_quixote	1112	24-jul-2018	100.0