Papers with in-depth studies

2 papers
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph (P18-1)

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Challenge: Analyzing human multimodal language is emerging area of research in NLP.
Approach: They propose a multimodal fusion technique to exploit how modalities interact in multimodal language.
Outcome: The proposed technique exploits how modalities interact with each other in human multimodal language.
CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts (2024.lrec-main)

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Challenge: Naively assuming English as a source language may hinder cross-lingual transfer . despite recent advances in cross-linguistic research, most studies have restricted themselves to two major assumptions .
Approach: They propose to integrate Romanized transcription beyond textual scripts to capture contact between these languages . they propose to use a benchmark dataset to further encourage in-depth studies of language contact .
Outcome: The proposed method allows for enhanced cross-lingual representations and effective zero-shot cross-linguistic transfer.

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