Papers with transformer-based encoder-decoder architecture

2 papers
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection (2021.acl-long)

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Challenge: Emotion detection in dialogues requires the identification of thematic topics underlying a conversation, commonsense knowledge, and the intricate transition patterns between affective states.
Approach: They propose a Topic-Driven Knowledge-Aware Transformer model that integrates topic representation and commonsense knowledge from ATOMIC for dialogue emotion detection.
Outcome: The proposed model outperforms state-of-the-art models on four dialogue datasets . it can detect topics which help distinguish emotion categories, the authors show .
PoseStitch-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translation (2025.emnlp-main)

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Challenge: Sign language translation remains a challenging task due to the scarcity of large-scale, sentence-aligned datasets.
Approach: They propose a pose-based pre-training scheme that is inspired by a linguistic-templates-based sentence generation technique.
Outcome: The proposed pre-training scheme outperforms state-of-the-art methods for pose-based gloss-free translation on two sign language datasets.

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