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What you say and how you say it : joint modeling of topics and discourse in microblog conversations

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Academic year: 2020

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Figure

Figure 2:The architecture of our neural frameworkthat jointly models latent topics and latent discourse.
Table 1: Statistics of the two datasets containing Twit-ter conversations.
Table 3:The purity, homogeneity, and variation ofinformation (VI) scores for the latent discourse rolesmeasured against the human-annotated dialogue acts.For purity and homogeneity, higher scores indicate bet-ter performance, while for VI scores, lower is
Table 4: Evaluation of tweet classification results in0.2accuracy (Acc) and average F1 (Avg F1)
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