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_principales_buscadores is a currency	1111	06-jul-2018	99.8
sales_table is an item found on the floor	1111	06-jul-2018	100.0
konstantin_p__feoktistov is an astronaut	1111	06-jul-2018	100.0
stama_winery is a winery	1111	06-jul-2018	100.0
monroe_park is a park	1111	06-jul-2018	93.0
english is a language used in the university harvard	1116	12-sep-2018	100.0
iverson plays the athletic team position player	1113	15-aug-2018	98.4
ann_brashares contributed to the creative work the_sisterhood_of_the_traveling_pants	1111	06-jul-2018	100.0
national is a company that has an office in the country panama	1114	25-aug-2018	100.0
acura is a specific automobile maker dealer in los_angeles_ca	1111	06-jul-2018	100.0