Papers with SALSA

2 papers
Multimodal Frame Identification with Multilingual Evaluation (N18-1)

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Challenge: FrameNet Semantic Role Labeling aims to disambiguate situations around predicates using textual representations.
Approach: They extend a frame identification task to leverage multimodal representations to improve FrameNet Semantic Role Labeling.
Outcome: The proposed system outperforms its unimodal counterpart on the English frameNet and its German counterpart on IMAGINED words.
Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA (2023.emnlp-main)

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Challenge: Traditional human evaluation methods for text simplification often relies on individual, shallow sentence-level ratings, easily affected by the annotator's preference or bias.
Approach: They propose an edit-based human annotation framework that enables holistic and fine-grained text simplification evaluation.
Outcome: The proposed framework is able to predict sentence- and word-level quality simultaneously and report promising results.

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