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
newfoundland_new_jersey is a beach	1111	06-jul-2018	100.0
herbal_hair_oil is a personal care product	1111	06-jul-2018	99.6
st___pancras_renaissance_london_hotel is a tourist attraction	1111	06-jul-2018	94.3
cuesta_college is a university	1111	06-jul-2018	100.0
table_repair is an item found on the floor	1111	06-jul-2018	99.8
kevin_martin is an athlete who led kings	1116	12-sep-2018	100.0
the country usa uses the currency dollars	1116	12-sep-2018	100.0
large_herds is a generalization of wildebeest	1111	06-jul-2018	99.2
paul is a musician who is part of clash	1111	06-jul-2018	93.8
norbert_reithofer is the CEO of bmw	1116	12-sep-2018	100.0