Papers with auxiliary module

2 papers
Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer (2020.acl-main)

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Challenge: Existing methods for named entity recognition ignore visual context bias . NER is a key component of many information extraction tasks .
Approach: They propose to use a multimodal interaction module to generate word-aware visual representations and leverage purely text-based entity span detection as an auxiliary module to guide the final predictions.
Outcome: The proposed approach achieves state-of-the-art on two benchmark datasets.
AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints (2024.acl-long)

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Challenge: Domain-specific Language (DSL) is an effective tool to express constraints structurally, but requires case-by-case hand-crafting.
Approach: They propose a framework to automate domain-specific language constraint design . they propose 'autoDSL' framework to optimize syntactic and semantic constraints .
Outcome: The framework automates constraint design across domains and abstracts semantic constraints.

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