Profiling News Discourse Structure Using Explicit Subtopic Structures Guided Critics (2021.findings-emnlp)
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| Challenge: | Experimental results show that the hierarchical model learns to segment a document into subtopics and improves performance on the news discourse profiling task. |
| Approach: | They propose a hierarchical neural network that models multi-level interaction between sentences, subtopics, and the document. |
| Outcome: | The proposed model outperforms the existing model on the news discourse profiling task. |
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