before_sent:  In this work, we characterize how contextual representations of concrete nouns extracted by trained language models relate to the physical properties of the objects they refer to. Our approach uses a probing model that examines how effective these language representations are in discerning between different visual representations.
before_sent_with_intent: <clarity>  In this work, we characterize how contextual representations of concrete nouns extracted by trained language models relate to the physical properties of the objects they refer to. Our approach uses a probing model that examines how effective these language representations are in discerning between different visual representations.
after_sent:  In this work, we characterize how contextual representations of concrete nouns are aligned with corresponding visual representations? We design a probing model that examines how effective these language representations are in discerning between different visual representations.