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
car_chairs is a kind of furniture	1111	06-jul-2018	99.6
sunbeam_snapper is a fish	1111	06-jul-2018	100.0
kmtp_tv is a TV station	1111	06-jul-2018	99.1
gap is an organization	1114	25-aug-2018	100.0
vaccine_strain is a virus	1111	06-jul-2018	98.2
spinach is related to china	1111	06-jul-2018	100.0
modern_dynamic_kidney_exchanges occurrs in the room n1507	1116	12-sep-2018	100.0
ford is a company that produces expedition	1114	25-aug-2018	100.0
connections looks like telephone	1113	15-aug-2018	93.8
rick_neuheisel coaches the team ucla	1116	12-sep-2018	100.0