Papers with relationship modeling
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection (2020.acl-main)
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| Challenge: | Existing methods for identifying controversial posts on social media are limited . existing methods fail to incorporate semantic information from content-related posts . |
| Approach: | They propose a method to integrate the information from topics, posts, and comments . they extend their model to Disentangled TPC-GCN to disentangle topic-related features . |
| Outcome: | The proposed method outperforms existing methods on two real-world datasets. |
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View (2022.coling-1)
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| Challenge: | Multi-Document Scientific Summarization (MDSS) aims to produce concise and concise summaries for clusters of topic-relevant scientific papers. |
| Approach: | They propose a model that incorporates knowledge graphs into paper encoding and decoding processes and propose 'decoder' for generating knowledge graph information of summary in the form of descriptive sentences. |
| Outcome: | The proposed architecture improves on baselines on the Multi-Xscience dataset. |