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
rss_home_map_home is a location	1111	06-jul-2018	99.5
greg_cryns is a chef	1111	06-jul-2018	94.4
bismuth_bromide is a chemical	1111	06-jul-2018	100.0
cha_tae_hyun is a female	1111	06-jul-2018	93.8
old_john_deer_farm is a farm	1111	06-jul-2018	99.8
los_angeles_international is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
emperor has citizenship in the country russia	1113	15-aug-2018	100.0
carl_bernstein is a journalist that writes for the publication washington	1113	15-aug-2018	99.6
santa_cruz is a city also known as columbia	1112	24-jul-2018	93.8
luis_castillo plays the sport baseball	1116	12-sep-2018	98.4