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
wcmx is a radio station	1111	06-jul-2018	96.9
marsh_lands can be a part of a landscape	1111	06-jul-2018	99.2
swollen_lymph_nodes_gag is a lymph node	1111	06-jul-2018	99.6
pineapple_pie is a visualizable thing	1111	06-jul-2018	97.9
slim_pickens_records is a record label	1111	06-jul-2018	97.3
nicholas_kristof is a journalist that writes for the publication new_york_times	1113	15-aug-2018	100.0
the country japan uses the currency yen	1116	12-sep-2018	100.0
national is a company that has an office in the country taiwan	1114	25-aug-2018	100.0
smooth_flower_spider is related to white	1116	12-sep-2018	100.0
duloxetine is expected to come to market on n2002	1116	12-sep-2018	100.0