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
arabellasheraton_grand_hotel is a place to ski	1111	06-jul-2018	91.1
class_structure is a machine-learning conference	1112	24-jul-2018	96.3
n12_0 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
john_boswell is a writer	1111	06-jul-2018	100.0
hotel_klassic_gold is a hotel	1111	06-jul-2018	97.4
mount_logan is related to north_america	1111	06-jul-2018	100.0
crickets is an arthropod that feeds on insects	1114	25-aug-2018	100.0
lung is a subpart of the body within cells	1111	06-jul-2018	93.8
grammy_museum is a museum in the city los_angeles_ca	1116	12-sep-2018	100.0
management is an academic program at the university college	1114	25-aug-2018	100.0