Existing language modeling (LM) based approaches such as Para2Vec (Le and Mikolov, 2014) rely on deep neural networks to generate vector representations for the paragraph-level.
these approaches are normally trained with an abundance of utterances to achieve the required performance, which is usually not present in the conversational text domain (Boyanov et al., 2017).