Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
albertson_college is a university	1111	06-jul-2018	100.0
daytime_sky is a visualizable attribute	1111	06-jul-2018	90.8
athlete_magazines is a kind of media	1111	06-jul-2018	99.0
caving_cuckoo_clock is an item found on a wall	1111	06-jul-2018	99.5
glenmore_inn is a place to ski	1111	06-jul-2018	90.1

wpec_tv is a TV affiliate of the network cbs_evening_news	1116	12-sep-2018	100.0
google_inc has official website __google	1116	12-sep-2018	100.0
linda_hogan is a person who has age 46	1116	12-sep-2018	100.0
hoosier_hill is a mountain in the state or province indiana	1116	12-sep-2018	100.0
jacksonville_international_airport is an attraction that will be fall in city jacksonville	1116	12-sep-2018	99.2

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts