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
los_viejos_tiempos is a currency	1111	06-jul-2018	99.8
hershey_s_zero_candy_bar is a kind of candy	1111	06-jul-2018	98.7
pitcher_aaron_heilman is a Mexican person	1111	06-jul-2018	93.3
jacqueline_thompson is an Australian person	1111	06-jul-2018	91.2
n10_29 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
peachtree_street is a street in the city atlanta	1116	12-sep-2018	100.0
us_navy is headquartered in the country us	1116	12-sep-2018	100.0
robot_futures is part of scs_author_presentation___booksigning	1116	12-sep-2018	100.0
selene is the mother of ersa	1116	12-sep-2018	100.0
four is the number of people injured in the event dubai_bus_crash_kills_15_asian_workers	1116	12-sep-2018	100.0