Many studies also focus on similar tasks aside from conversation disentanglement, such as entailment prediction (Mueller and Thyagarajan, 2016;Wang and Jiang, 2017) and question-answering (Severyn and Moschitti, 2015;Amiri et al., 2016;Yin et al., 2016).
most of their models are complicated and require a larger amount of labeled training data; limited conversational data can lead to unsatisfactory performance as shown in Section 4.