Papers with higher-order inference
Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role Labeling (2023.findings-acl)
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| Challenge: | Span-based semantic role labeling is traditionally tackled by BIObased sequence labeling approaches. |
| Approach: | They propose to decompose the edge from predicate word to argument span into three different edges, enabling higher-order inference. |
| Outcome: | The proposed model outperforms vanilla MFVI on span-based semantic role labeling benchmarks. |
Sequential Cross-Document Coreference Resolution (2021.emnlp-main)
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| Challenge: | Existing models for cross-document coreference resolution have been used for within-document entity coreference but have been relatively limited. |
| Approach: | They propose a model that extends the efficient sequential prediction paradigm for coreference resolution to cross-document settings and achieves competitive results for both entity and event coreference. |
| Outcome: | The proposed model achieves competitive results for entity and event coreference while minimizing error propagation in complex reasoning tasks. |
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks (2023.emnlp-main)
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| Challenge: | Entity and Relation Extraction (ERE) is an important task in information extraction. |
| Approach: | They propose a hypergraph neural network for ERE built upon the PL-marker . they use a pruner mechanism to transfer the burden of entity identification to the joint module . |
| Outcome: | The proposed model improves on three widely used benchmarks on ERE task . it uses a pruner mechanism to transfer the burden of entity identification to the joint module . |
Revealing the Myth of Higher-Order Inference in Coreference Resolution (2020.emnlp-main)
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| Challenge: | Adapted coreference resolution models have only marginally improved performance over representation learning. |
| Approach: | They implement an end-to-end coreference system and four HOI approaches to analyze the impact of higher-order inference on coreference resolution. |
| Outcome: | The proposed model shows that the impact of higher-order inference (HOI) on coreference resolution is negative to marginal, providing a new perspective on the task. |