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
zimbabwean_high_court is a part of the government	1111	06-jul-2018	95.1
red_cliffs can be a part of a landscape	1111	06-jul-2018	99.8
judge_naomi_buchwald is a judge	1111	06-jul-2018	97.1
n2_0_3 is a machine-learning algorithm	1111	06-jul-2018	99.5
paul_young is an author in the scientific field of machine learning	1111	06-jul-2018	99.8
usa is a country also known as china	1111	06-jul-2018	98.4
thomas_meskill died in the state or province florida	1116	12-sep-2018	100.0
james_blake is a person who graduated from the university state_university	1112	24-jul-2018	100.0
party is a person who has residence in the geopolitical location new_york	1114	25-aug-2018	96.9
the coach kurt_warner won the trophy or tournament super_bowl	1112	24-jul-2018	100.0