Papers by Quang-Thuy Ha
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition (2024.lrec-main)
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| Challenge: | Existing models for multimodal Emotion Recognition in conversation (ERC) use text as the main modality for emotion recognition. |
| Approach: | They propose a Directed Acyclic Graph (DAG) approach that integrates textual, acoustic, and visual features within a unified framework. |
| Outcome: | The proposed model outperforms baseline models on the IEMOCAP and MELD datasets. |
A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction (N19-1)
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| Challenge: | Existing approaches to extract relationship between entities in sentences suffer from missing or redundant information. |
| Approach: | They propose a deep neural model that combines the advantages of the two approaches to extract the relationship between two entities in a sentence. |
| Outcome: | The proposed model outperforms baseline models on the SemEval-2010 dataset. |