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GLTR (glitter) v0.5
The GLTR demo enables forensic inspection of the visual footprint of a language model on input text to detect whether a text could be real or fake. It is a collaborative effort between Hendrik Strobelt, Sebastian Gehrmann, and Alexander Rush from the MIT-IBM Watson AI lab and Harvard NLP. Please read the detailed intro about GLTR. Each text is analyzed by how likely each word would be the predicte
AKIMOTO 2019/03/11
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Catching Unicorns with GLTR
try our demo Catching a Unicorn with GLTR: A tool to detect automatically generated text By Hendrik Strobelt and Sebastian Gehrmann -- reviewed by Alexander Rush A collaboration of MIT-IBM Watson AI lab and HarvardNLP We introduce GLTR to inspect the visual footprint of automatically generated tex. It enables a forensic analysis of how likely an automatic system has generated a text. Check out the
AKIMOTO 2019/03/10
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