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
text_leaves is a vegetable	1111	06-jul-2018	94.7
hunting_spider is an arachnid	1111	06-jul-2018	100.0
ford_7_3 is a kind of vehicle	1111	06-jul-2018	99.7
creamy_soap is a personal care product	1111	06-jul-2018	98.9
health_education_students is a victim	1111	06-jul-2018	100.0
oliver_stone contributed to the creative work jfk	1111	06-jul-2018	100.0
rajendra_pachauri is a person who has residence in the geopolitical location india	1115	03-sep-2018	100.0
use_agreement participated in the event terms	1113	15-aug-2018	99.2
stevie_wonder is a musician in the genre motown	1111	06-jul-2018	98.4
n7_10_am is the time of the event n1995_fox_river_grove_bus_train_collision	1116	12-sep-2018	100.0