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
state_university_of_new_york_buffalo is a university	1111	06-jul-2018	100.0
chair_ottomans is a kind of furniture	1111	06-jul-2018	99.6
farmhouse_doors is an item often found in a hallway	1111	06-jul-2018	99.8
winter_corn is a grain	1112	24-jul-2018	91.0
airtran is a company	1111	06-jul-2018	99.5
kwhy is a company that has an office in the city glendale	1112	24-jul-2018	99.9
trusting_jesus held the position of lord	1115	03-sep-2018	96.9
arnold_schwarzenegger is a U.S. politician who holds the office of california_governor	1116	12-sep-2018	100.0
delhi is a city located in the country india	1116	12-sep-2018	93.8
european_countries is a generalization of britain	1116	12-sep-2018	100.0