Paper, Tags: #nlp, #sarcasm-detection
In this paper we propose a deep 56 layer network implemented with dense connectivity to model the isolated utterance and extract richer features therein.
Low-level features are shown to be used during the formation of the final feature maps.
Our results demonstrate that whilst context is often needed to classify sarcasm; there is additional local information present that previous approaches have not taken advantage of