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
research_regulation is a research project	1111	06-jul-2018	97.8
casino_poker_tournament is a non-sports, non-electronic game	1111	06-jul-2018	100.0
class_capacity is a character trait	1111	06-jul-2018	99.6
embassy_suites_denver_downtown is a tourist attraction	1111	06-jul-2018	94.3
mount_masoerai is a mountain	1111	06-jul-2018	100.0
guo_jingjing is a person who has residence in the geopolitical location china	1111	06-jul-2018	100.0
l_aquarium_de_barcelona is an aquarium in the city barcelona	1116	12-sep-2018	100.0
foliage has color golden_yellow	1111	06-jul-2018	99.6
hilton_miami_airport is a hotel in the city miami	1116	12-sep-2018	93.8
vanessa_paradis has husband johnny_depp	1116	12-sep-2018	99.2