Papers with higher-order inference

4 papers
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.

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