Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
australasian_research_management_society is a professional organization	1111	06-jul-2018	90.7
esc_gda__san_jose is a South American person	1111	06-jul-2018	91.5
inside_ankle_bone is a bone	1113	15-aug-2018	97.9
center_guys is a sports team position	1111	06-jul-2018	99.4
tenasserim_hills is a mountain range	1111	06-jul-2018	99.9

michael_peterson has been charged with first_degree_murder	1111	06-jul-2018	100.0
john is a person who was written about in the_chicago_tribune	1116	12-sep-2018	100.0
people is a company that has an office in the country china	1111	06-jul-2018	99.2
abraham and lot are siblings	1112	24-jul-2018	93.8
krcl is a radio station in the city salt_lake	1116	12-sep-2018	99.2

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts