mlsanityData to 7 Oct 2026

Sequence Generation with Label Augmentation for Relation Extraction

arXiv 2212.14266 ↗First posted 29 Dec 2022cs.CLcited by 9

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Abstract (arXiv)

Sequence generation demonstrates promising performance in recent information extraction efforts, by incorporating large-scale pre-trained Seq2Seq models. This paper investigates the merits of employing sequence generation in relation extraction, finding that with relation names or synonyms as generation targets, their textual semantics and the correlation (in terms of word sequence pattern) among them affect model performance. We then propose Relation Extraction with Label Augmentation (RELA), a Seq2Seq model with automatic label augmentation for RE. By saying label augmentation, we mean prod semantically synonyms for each relation name as the generation target. Besides, we present an in-depth analysis of the Seq2Seq model's behavior when dealing with RE. Experimental results show that RELA achieves competitive results compared with previous methods on four RE datasets.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 22 of its 44 references that are in the map. First posted on arXiv 29 Dec 2022.

Builds on

22 of 44 references.

References · 22

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10 more
  1. 2021A Unified Generative Framework for Various NER Subtaskscited by 141
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 3; 2025: 2; 2026: 1.

9 papers.

  1. 2023Large Language Models for Generative Information Extraction: A Surveycited by 183
  2. 2023Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulnesscited by 130
  3. 2024Text2MDT: Extracting Medical Decision Trees from Medical Textscited by 6
  4. 2024Recall, Retrieve and Reason: Towards Better In-Context Relation Extractioncited by 6
  5. 2025MPL: Multiple Programming Languages with Large Language Models for Information Extractioncited by 2
  6. 2023Labels Need Prompts Too: Mask Matching for Natural Language Understanding Taskscited by 1
  7. 2025Retrieval over Classification: Integrating Relation Semantics for Multimodal Relation Extractioncited by 1
  8. 2026Evaluating ChatGPT on Medical Information Extraction Tasks: Performance, Explainability and Beyondcited by 1
  9. 2024A Two Dimensional Feature Engineering Method for Relation Extractioncited by 0