A Survey of AMR Applications
Shira Wein, Juri Opitz
摘要
In the ten years since the development of the Abstract Meaning Representation (AMR) formalism, substantial progress has been made on AMR-related tasks such as parsing and alignment. Still, the engineering applications of AMR are not fully understood. In this survey, we categorize and characterize more than 100 papers which use AMR for downstream tasks— the first survey of this kind for AMR. Specifically, we highlight (1) the range of applications for which AMR has been harnessed, and (2) the techniques for incorporating AMR into those applications. We also detect broader AMR engineering patterns and outline areas of future work that seem ripe for AMR incorporation. We hope that this survey will be useful to those interested in using AMR and that it sparks discussion on the role of symbolic representations in the age of neural-focused NLP research.
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- SimCSE: Simple Contrastive Learning of Sentence EmbeddingsTianyu Gao, Xingcheng Yao, Danqi ChenEMNLP 2021 · 被引用 2,496 次
- Heterogeneous Graph Transformer for Graph-to-Sequence LearningShaowei Yao, Tianming Wang, Xiaojun WanACL 2020 · 被引用 49 次
- Structural Information Preserving for Graph-to-Text GenerationLinfeng Song, Ante Wang, Jinsong Su, Yue Zhang 等ACL 2020 · 被引用 45 次
- AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction ModelI-Hung Hsu, Zhiyu Xie, Kuan-Hao Huang, Prem Natarajan 等ACL 2023 · 被引用 26 次
- An AMR-based Link Prediction Approach for Document-level Event Argument ExtractionYuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang 等ACL 2023 · 被引用 26 次
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- Retrofitting Multilingual Sentence Embeddings with Abstract Meaning RepresentationDeng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing 等EMNLP 2022 · 被引用 4 次
