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
anton_refregier is a visual artist	1111	06-jul-2018	92.9
susan_sarandon is an agent	1115	03-sep-2018	100.0
contact_dell is a book	1111	06-jul-2018	90.5
british_road_championships is a sporting event	1111	06-jul-2018	99.5
inconvenience_this_problem is a cognitive action	1112	24-jul-2018	99.9
t__h__white contributed to the creative work the_once_and_future_king	1112	24-jul-2018	100.0
ksds is a radio station in the city san_diego	1116	12-sep-2018	100.0
spielberg directed the movie sun	1114	25-aug-2018	99.8
dan graduated from state	1112	24-jul-2018	93.8
european_champion_clubs__cup is a awardtrophytournament that was awarded in stadiumoreventvenue allianz_arena	1112	24-jul-2018	100.0