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@@ -164,6 +164,9 @@ As shown in figure, the output is a linearization of the extracted knowledge str
- Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song
- [[Paper]](https://aclanthology.org/2022.findings-acl.67/)
- **"Text-to-Text Extraction and Verbalization of Biomedical Event Graphs"**, COLING 2022
- Giacomo Frisoni, Gianluca Moro, Lorenzo Balzani
- [[Paper]](https://aclanthology.org/2022.coling-1.238/)
- ***Reformulating triple prediction***
@@ -326,6 +329,7 @@ The time for each paper is based on its first arXiv version (if exists) or estim
|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------:|:-----------:|:----------------------------------------------------------------------:|
| [Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language](https://arxiv.org/abs/2210.12810) | Structure-linearized | arXiv 2022 | [CODE4STRUCT](https://github.com/xingyaoww/code4struct) |
| [Autoregressive Structured Prediction with Language Models](https://arxiv.org/abs/2210.14698) | Label-augmented | EMNLP 2022 | [ASP](https://github.com/lyutyuh/ASP) |
| [Text-to-Text Extraction and Verbalization of Biomedical Event Graphs](https://aclanthology.org/2022.coling-1.238/) | Structure-linearized | COLING 2022 | [BioT2E](https://github.com/disi-unibo-nlp/bio-ee-egv) |
| [Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion](https://aclanthology.org/2022.coling-1.352/) | Structure-linearized | COLING 2022 | [KG-S2S](https://github.com/chenchens190009/KG-S2S) |
| [A sequence-to-sequence approach for document-level relation extraction](https://aclanthology.org/2022.bionlp-1.2/) | Copy-based | BioNLP 2022 | [Seq2rel](https://github.com/johngiorgi/seq2rel) |
| [Unified Structure Generation for Universal Information Extraction](https://aclanthology.org/2022.acl-long.395/) | Structure-linearized | ACL 2022 | [UIE](https://github.com/universal-ie/UIE) |