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
kaesong is a city	1111	06-jul-2018	99.8
bont_tick is an arthropod	1111	06-jul-2018	97.2
cannabis_offenses ia a crime or charge	1111	06-jul-2018	90.5
table_two is an item found on the floor	1111	06-jul-2018	99.9
edward_mclaughlin is a European person	1111	06-jul-2018	100.0
phillies is headquartered in the state or province new_york	1116	12-sep-2018	100.0
loose_fitting_clothing is a clothing item to go with shoes	1111	06-jul-2018	98.4
justice_studies is an academic program at the university college	1112	24-jul-2018	99.9
proton is a specific automobile maker dealer in uk_	1116	12-sep-2018	93.8
franklin_delano_roosevelt represents the region states	1114	25-aug-2018	100.0