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
used_tractors_farm is a farm	1111	06-jul-2018	99.8
pitcher_aaron_heilman is a Mexican person	1111	06-jul-2018	93.3
n1997_dodge_grand_caravan is a model of automobile	1111	06-jul-2018	94.5
psp_3000_slim is a consumer electronic device	1111	06-jul-2018	100.0
spring_1957 is a date	1111	06-jul-2018	100.0
youtube terminated the employment of chad_hurley	1111	06-jul-2018	100.0
michael_bloomberg represents the region nueva_york	1114	25-aug-2018	100.0
jean_quan is the leader of the city oakland	1116	12-sep-2018	96.9
angie has husband scott	1116	12-sep-2018	100.0
tub is often found in site	1116	12-sep-2018	100.0