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
residence_rooms is an office building room	1111	06-jul-2018	97.4
ideas_sports is a hobby	1111	06-jul-2018	99.2
may_17_election is an election	1111	06-jul-2018	95.7
melissa_tanner is a fashion model	1111	06-jul-2018	91.1
watts_winery is a winery	1111	06-jul-2018	100.0
nueva_york is a city located in the geopolitical location new_york	1114	25-aug-2018	100.0
great_vow_zen_monastery is a place of worship that practices the religion of buddhism	1116	12-sep-2018	100.0
tim_spooneybarger plays the sport baseball	1116	12-sep-2018	93.8
dwyane_wade coaches the team air_source_heat	1116	12-sep-2018	92.8
first_english is the language of the country __america	1116	12-sep-2018	100.0