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
rec_room_door is an item often found in a hallway	1111	06-jul-2018	99.7
nestling_phase is a non-disease physiological condition	1111	06-jul-2018	94.9
alla_lenz_hotel is a place to ski	1111	06-jul-2018	91.1
the_washington_hospital is a hospital	1111	06-jul-2018	92.8
interface_ehcache_parameters is a machine-learning conference	1111	06-jul-2018	98.4
the home stadium of patrick_sharp is wrigley_field	1116	12-sep-2018	100.0
kpdx is a TV station in the city portland	1116	12-sep-2018	93.8
paw_paw_river is a lake in the state or province michigan	1116	12-sep-2018	93.8
n3_5 looks like screen	1111	06-jul-2018	100.0
republican is a person who has residence in the geopolitical location new_york	1114	25-aug-2018	93.9