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
gigantic_clock is an item found on a wall	1111	06-jul-2018	99.8
safeguards_violations ia a crime or charge	1111	06-jul-2018	93.1
american_health_line is a publication	1111	06-jul-2018	91.2
nursery_road is a street	1111	06-jul-2018	100.0
movie_the_boy_in_the_striped_pyjamas is a movie	1111	06-jul-2018	100.0
new_republic is a company headquartered in the city new_york	1116	12-sep-2018	100.0
the home stadium of brian_campbell is wrigley_field	1116	12-sep-2018	100.0
invesco_field_at_mile_high is a tourist attraction in the city denver	1116	12-sep-2018	99.9
dan_monson works for minnesota	1112	24-jul-2018	93.8
german is a language used in the university northwestern_university	1115	03-sep-2018	96.9