Papers with language applications
Scene Graph Parsing as Dependency Parsing (N18-1)
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| Challenge: | Recent studies have focused on parsing structured knowledge graphs from textual descriptions. |
| Approach: | They propose an alternative but equivalent scene graph representation that connects to dependency parses. |
| Outcome: | The proposed model outperforms best approaches on image retrieval applications. |
Bahasa Harmony: A Comprehensive Dataset for Bahasa Text-to-Speech Synthesis with Discrete Codec Modeling of EnGen-TTS. (2024.findings-emnlp)
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| Challenge: | Existing text-to-speech (TTS) systems often fail to address the needs of Bahasa, resulting in limited adaptability, linguistic richness, or efficiency. |
| Approach: | They propose a Bahasa text-to-speech dataset and a novel TTS model, EnGen-TTS, which enhance the quality and versatility of synthetic speech in the Bahasan language. |
| Outcome: | The proposed model outperforms existing models even without fine-tuning and achieves a mean opinion score of 4.45 0.13. |
Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach (2023.acl-long)
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| Challenge: | Existing curriculum learning approaches often employ a single criterion of difficulty in their training paradigms. |
| Approach: | They propose a new approach that builds on graph complexity formalisms and model competence during training. |
| Outcome: | The proposed approach improves learning efficiency on real-world link prediction and node classification tasks. |
Machine Translation Decoding beyond Beam Search (2021.emnlp-main)
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Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Lespiau Jean-Baptiste, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
| Challenge: | a new study examines whether beam search can be replaced by a more powerful metric-driven search technique. |
| Approach: | They propose a beam search method which is agnostic to the end metric and report results on a variety of metrics. |
| Outcome: | The proposed method is based on a Monte-Carlo Tree Search (MCTS) based method and shows it can be used in language applications. |