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
woman_s_childbearing_years is a non-disease physiological condition	1111	06-jul-2018	96.9
wcmx is a radio station	1111	06-jul-2018	96.9
a_sense_of_hopefulness is an emotion	1111	06-jul-2018	95.3
adenylate_cyclase_4 is a protein	1111	06-jul-2018	100.0
west_side_door is an item often found in a hallway	1111	06-jul-2018	99.8
jobs is a person who moved to the state nevada	1115	03-sep-2018	99.8
west_virginia hired bob_huggins	1111	06-jul-2018	100.0
tutu is a clothing item to go with top	1111	06-jul-2018	93.8
nissan is a specific automobile maker dealer in antonio	1114	25-aug-2018	99.2
nan_wang is a person who has residence in the geopolitical location hong_kong	1114	25-aug-2018	100.0