--- title: "Who cites Learning Span-Level Interactions — 57 citing papers" description: "57 papers of the Elamur Research library cite «Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction», found in their…" canonical: "https://research.elamur.ai/free/en/papers/xu-2021-learning-span-level-interactions-aspect/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/xu-2021-learning-span-level-interactions-aspect/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Learning Span-Level Interactions for Aspect…](https://md.research.elamur.ai/free/en/papers/xu-2021-learning-span-level-interactions-aspect/) / cited by # Who cites «Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction» 57 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction»](https://md.research.elamur.ai/free/en/papers/xu-2021-learning-span-level-interactions-aspect/) 1. [**Is GPT-3 a Good Data Annotator? arXiv:2212.10450**Bosheng Ding, Chengwei Qin, Linlin Liu, et al.*2022 · 145 citations*](https://md.research.elamur.ai/free/en/papers/ding-2022-gpt-3-good-data-annotator/) 2. **[RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction](https://md.research.elamur.ai/free/en/papers/chia-2022-relationprompt-leveraging-prompts-generate-synthetic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yew Ken Chia, Lidong Bing, Soujanya Poria, et al.*2022 · 141 citations* 55 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/xu-2021-learning-span-level-interactions-aspect/) — Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction