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
pumpkin_cheesecake_recipes is a recipe	1111	06-jul-2018	99.8
trevor_hoffman is a Mexican person	1111	06-jul-2018	100.0
takin is an animal	1111	06-jul-2018	94.7
bell_home is a location	1115	03-sep-2018	99.4
leafminer_fly is an insect	1111	06-jul-2018	100.0
chris_martin is a musician who plays the piano	1116	12-sep-2018	99.2
carroll plays the athletic team position right_center	1113	15-aug-2018	93.8
bed is often found in one_bed_room	1111	06-jul-2018	100.0
randor_bierd is an athlete that flied out to position center	1111	06-jul-2018	100.0
n15_minutes has color brown	1111	06-jul-2018	93.8