Papers with Frame identification

2 papers
Exploiting Definitions for Frame Identification (2021.eacl-main)

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Challenge: a frame-semantic parsing task is to determine which frame best captures the meaning of a word or phrase in a sentence.
Approach: They propose a frame identification model that generates representations for frames and lexical units (senses) they evaluate the model on three data sets and show it consistently achieves better performance than previous systems.
Outcome: The proposed model consistently outperforms previous systems on three data sets.
Coarse-to-Fine Dual Encoders are Better Frame Identification Learners (2023.findings-emnlp)

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Challenge: Recent efforts to model frame definitions lack sufficient representation learning of definitions or lack efficient frame modeling.
Approach: They propose a frame-target-encoder architecture that uses coarse-to-fine learning to model alignment between frames and targets.
Outcome: The proposed framework outperforms existing models by 0.93 overall scores and 1.53 R@1 without lf.

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