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
contact_sodexo is a book	1111	06-jul-2018	90.7
alberto_de_martino is a director	1111	06-jul-2018	92.2
annual_undergraduate_research_symposium is a music festival	1111	06-jul-2018	100.0
brian_r__gaines is an author in the scientific field of machine learning	1111	06-jul-2018	93.8
louis_j__horvitz is an African person	1111	06-jul-2018	99.9
room_1495 is a room in the building biomedical_science_tower	1116	12-sep-2018	100.0
red_wings is a sports team that won the stanley_cups	1113	15-aug-2018	99.2
johnson001 is a person who graduated from the university college	1114	25-aug-2018	100.0
ty_cobb plays the athletic team position player	1111	06-jul-2018	96.9
epam_systems is an organization known by the acronym e_systems	1116	12-sep-2018	100.0