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
paper_mill_workers is a trade union	1111	06-jul-2018	90.1
em_online_poker_tips_and_strategies_webpoker_room_directory_texas is a non-sports, non-electronic game	1111	06-jul-2018	96.6
n27_3_victory is an event outcome	1111	06-jul-2018	93.0
burbank_street is a street	1111	06-jul-2018	100.0
n12879 is a ZIP code	1112	24-jul-2018	99.8
la is a city also known as los_angeles_ca	1111	06-jul-2018	100.0
images contributed to the creative work commandments	1112	24-jul-2018	98.4
financial_times is a newspaper in the city new_york	1116	12-sep-2018	100.0
fiesta_rancho_station is a building located in the city las_vegas	1116	12-sep-2018	93.8
british_council is a museum in the city delhi	1116	12-sep-2018	100.0