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
reconciliation_agreement is a TV show	1111	06-jul-2018	100.0
n09_30 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
food_recall_engineering is an area of study within the field of machine learning	1111	06-jul-2018	100.0
convenience_software is a tool	1112	24-jul-2018	99.3
lush_river_valleys can be a part of a landscape	1111	06-jul-2018	99.2
canada_water is a park in the city central_london	1116	12-sep-2018	100.0
deer_tick is called tick	1116	12-sep-2018	100.0
russian_language is the language of the country russia	1113	15-aug-2018	96.9
steve_jobs works in the economic sector computer_hardware	1115	03-sep-2018	100.0
the sport baseball was played at n1912_world_series	1116	12-sep-2018	100.0