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
jacqueline_thompson is an Australian person	1111	06-jul-2018	91.2
black_pantsuit is a kind of clothing	1111	06-jul-2018	100.0
soup_comments is a product	1111	06-jul-2018	90.9
endless_cave is a cave	1111	06-jul-2018	100.0
westervelt_warner_museum_of_american_art is a museum	1111	06-jul-2018	100.0
office_suite is a synonym for microsoft_corporation001	1111	06-jul-2018	93.8
bath is often found in site	1116	12-sep-2018	100.0
dufferin_mall is a shopping mall in the city toronto	1116	12-sep-2018	100.0
temple was born in the city salt_lake	1116	12-sep-2018	100.0
uttarakhand is a state or province located in the geopolitical location india	1115	03-sep-2018	99.8