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
rate_card_information is a scientific term	1111	06-jul-2018	93.8
nebraska_state_journal is a blog	1111	06-jul-2018	100.0
hoffman_la_roche has human agency	1115	03-sep-2018	100.0
n1_corinthians_12_13 is an ethnic group	1111	06-jul-2018	97.8
oldsmobile_cutlass_fe3x_concept is a kind of vehicle	1111	06-jul-2018	99.9
nicolas_cage is an actor that worked with the director francis_ford_coppola	1116	12-sep-2018	100.0
auburn_avenue is a street in the city atlanta	1116	12-sep-2018	100.0
aquarium_und_zoologischer_garten is an aquarium in the city berlin	1116	12-sep-2018	100.0
new_york_daily_news is a newspaper in the city washington_d_c_	1116	12-sep-2018	100.0
object_storage occurrs in the room n1212	1116	12-sep-2018	100.0