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
number_103 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
warner_music_australasia is a record label	1111	06-jul-2018	99.9
led_light_shower_head is an item often found in a bathroom	1111	06-jul-2018	99.7
n06_15_2009 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
badger_lake is a trail	1111	06-jul-2018	100.0
bobby_jones is an athlete who wins u_s__open	1116	12-sep-2018	100.0
new_republic is a company headquartered in the city new_york	1116	12-sep-2018	100.0
uppsala_university is a sports team that plays in the league international	1116	12-sep-2018	100.0
thousand_rockets is a type of weapon produced in israel	1114	25-aug-2018	96.9
the sports leage nba uses the venue td_banknorth_garden	1112	24-jul-2018	93.8