Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model (C18-1)
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| Challenge: | Existing research explores different text features of reply comments on word level and ignores interactions between participants. |
| Approach: | They propose a co-attention mechanism based neural network to capture interactions between participants on argument level to better model dialogical argumentation. |
| Outcome: | The proposed model outperforms state-of-the-art methods on a publicly available dataset showing that it extracts interactive argument pairs from the original post and the reply. |
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| Challenge: | Existing studies on user interest in dialogue systems depend on explicit user feedback. |
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| Challenge: | Existing research on monological argumentation covers claims generation, argument structure prediction, and essay scoring. |
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| Challenge: | Argumentation mining on essays is a new task in natural language processing. |
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