Papers with unified generative model

2 papers
A Unified Generative Framework for Bilingual Euphemism Detection and Identification (2024.findings-acl)

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Challenge: Existing euphemism datasets are only domain-specific or language-specific.
Approach: They propose a unified model to jointly conduct bilingual euphemism detection and identification tasks.
Outcome: The proposed model is effective and provides a new reference standard for euphemism detection and identification.
UniCOQE: Unified Comparative Opinion Quintuple Extraction As A Set (2023.findings-acl)

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Challenge: Existing methods decompose the COQE task into multiple subtasks and solve them in a pipeline manner, but ignore the intrinsic connection between subtask and the error propagation among stages.
Approach: They propose a unified generative model that solves COQE in one shot by concatenating all the comparative tuples into a target output sequence.
Outcome: The proposed model significantly outperforms the SOTA method on multiple benchmarks and ablation experiments.

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