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
sulcus_corpus_callosum is a kind of brain tissue	1111	06-jul-2018	96.8
george_james is a European person	1111	06-jul-2018	99.9
n17_01_2008 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
rock_hudson_and_doris_day is a male	1111	06-jul-2018	90.7
drink_software is a tool	1111	06-jul-2018	99.5
jurisprudence is an academic program at the university law_school	1112	24-jul-2018	96.9
ryan_church is an athlete who led new_york_mets	1116	12-sep-2018	100.0
dominique_rodgers_cromartie plays for the team cardinals_27_23	1116	12-sep-2018	98.4
pulmonary_artery arises from right_pulmonary_artery	1116	12-sep-2018	100.0
kitty_piercy is the leader of the city eugene	1116	12-sep-2018	96.4