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HfGCN: Hierarchical fused GCN for Joint Entity and Relation …
The extraction of entities and relations from un-structured text is crucial for information extraction. The joint models have been proposed to solve both tasks simultaneously. However, previous work only focuses on the linear representation of sentences and neglects hierarchical grammatical knowledge, which can be injected into the word representations to …
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This paper proposes a novel hierarchical fusion graph convolutional network (HFGCN) model that learns more informative multimodal representations by considering the modality dependencies during the feature fusion procedure. Specifically, the proposed model fuses multimodality inputs using a two-stage graph construction approach and encodes the …
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Fugu-MT 論文翻訳(概要): Fusion with Hierarchical Graphs for …
本稿では,特徴融合過程におけるモーダリティ依存性を考慮し,より情報に富んだマルチモーダル表現を学習する階層型融合グラフ畳み込みネットワーク(HFGCN)モデルを提案する。 具体的には,2段階グラフ構築手法を用いてマルチモーダル入力を融合し,モダリティ依存性を会話表現にエンコード ...
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2021 IEEE International Conference on Big Knowledge (ICBK)
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