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
south_african_judge is a judge	1111	06-jul-2018	98.1
yakima_valley_community_college_grandview_campus is a train station	1111	06-jul-2018	99.6
maple_lawn_shopping_center is a shopping mall	1111	06-jul-2018	100.0
denver_nissan is an automobile manufacturer	1111	06-jul-2018	95.7
duodenal_ulcers is a disease	1111	06-jul-2018	100.0
television looks like family	1115	03-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with dill	1114	25-aug-2018	99.8
samuel001 held the position of king	1114	25-aug-2018	96.9
the home stadium of rich_hill is wrigley_field	1116	12-sep-2018	100.0
the sport baseball was played at n1934_world_series	1116	12-sep-2018	100.0