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
powdermill_road is a street	1111	06-jul-2018	100.0
canvas_boat_shoes is a kind of clothing	1111	06-jul-2018	95.2
n5_0__ is a machine-learning algorithm	1111	06-jul-2018	100.0
randy_bradford is a Canadian person	1111	06-jul-2018	91.3
disques_ozmoz_records is a record label	1111	06-jul-2018	97.6
cows refers to more than one large_herd	1112	24-jul-2018	93.8
shellfish feeds on crabs	1116	12-sep-2018	100.0
arms is a type of weapon produced in china	1111	06-jul-2018	100.0
the companies herald_tribune and new_york compete with eachother	1111	06-jul-2018	100.0
wood_prarie_farm is a farm in the state or province maine	1116	12-sep-2018	100.0