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This paper addresses the question of how language use affects community reaction to comments in online discussion forums, and the relative importance of the mes- sage vs. the messenger. A …...

AbstractWe develop a novel factored neural model that learns comment embeddings in an unsupervised way leveraging the structure of distributional context in online discussion forums. The model links different context …...

AbstractThis paper presents a novel approach for modeling threaded discussions on social media using a graph-structured bidirectional LSTM (long-short term memory) which represents both hierarchical and temporal conversation structure. In …...