Papers with fusion technique
Enhancing Hindi Feature Representation through Fusion of Dual-Script Word Embeddings (2024.lrec-main)
Copied to clipboard
| Challenge: | Pretrained language models often neglect the integration of different scripts within a language, constraining their ability to capture richer semantic information. |
| Approach: | They propose a dual-script enhanced feature representation method for Hindi . they combine features from Devanagari and Romanized Hindi Roberta . |
| Outcome: | The proposed method improves model performance across multiple natural language processing tasks. |
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues (2023.emnlp-main)
Copied to clipboard
| Challenge: | Understanding emotions during conversation is a fundamental aspect of human communication. |
| Approach: | They propose an approach that integrates commonsense information with dialogue context to facilitate a deeper understanding of emotions. |
| Outcome: | The proposed approach improves ERC for code-mixed conversations by integrating commonsense with dialogue context. |
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition (2023.emnlp-main)
Copied to clipboard
Srijith Radhakrishnan, Chao-Han Yang, Sumeer Khan, Rohit Kumar, Narsis Kiani, David Gomez-Cabrero, Jesper Tegnér
| Challenge: | Existing methods for generative error correction in automatic speech recognition (ASR) use a two-pass reranking paradigm to generate n-best hypotheses. |
| Approach: | They propose a cross-modal fusion technique for generative error correction in automatic speech recognition. |
| Outcome: | The proposed technique shows a 37.66% improvement in word error rate relative to the n-best Oracle. |