Before revision: Vision, as a central component of human perception, plays a fundamental role in shaping natural language . To better understand how text models are connected to our visual perceptions , we propose a method for examining the similarities between neural representations extracted from words in text and objects in images .
After revision: While large-scale language models have enjoyed great success recently, much remains to be understood about what is encoded in their representations. In this work , we propose a method for examining the similarities between neural representations extracted from words in text and objects in images .