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@@ -220,6 +220,9 @@ Meanwhile, the labeled words are described with natural words so that the potent
- Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, RISHITA ANUBHAI, Cicero Nogueira dos Santos, Bing Xiang, Stefano Soatto
- [[Paper]](https://openreview.net/forum?id=US-TP-xnXI)
- **"Autoregressive Structured Prediction with Language Models"**, EMNLP 2022
- Tianyu Liu, Yuchen Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan
- [[Paper]](https://arxiv.org/abs/2210.14698)
### 4. Indice-based Sequence.
@@ -319,45 +322,46 @@ The output sequences are sentences where the blank placeholders are replaced by
The time for each paper is based on its first arXiv version (if exists) or estimated submission time.
| Papers | Method | Conference | Code |
|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------:|:-----------:|:----------------------------------------------------------------------:|
| [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) |
| [Sequence-to-Sequence Knowledge Graph Completion and Question Answering](https://aclanthology.org/2022.acl-long.201) | Structure-linearized | ACL 2022 | [KGT5](https://github.com/apoorvumang/kgt5) |
| [Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction](https://aclanthology.org/2022.acl-long.466/) | Blank-based | ACL 2022 | [PAIE](https://github.com/mayubo2333/PAIE) |
| [De-Bias for Generative Extraction in Unified NER Task](https://aclanthology.org/2022.acl-long.59/) | Structure-linearized | ACL 2022 | - |
| [DeepStruct: Pretraining of Language Models for Structure Prediction](https://aclanthology.org/2022.findings-acl.67/) | Structure-linearized | ACL 2022 | [DeepStruct](https://github.com/cgraywang/deepstruct) |
| [Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction](https://aclanthology.org/2022.acl-long.317/) | Blank-based | ACL 2022 | [X-GEAR](https://github.com/PlusLabNLP/X-Gear) |
| [Dynamic Prefix-Tuning for Generative Template-based Event Extraction](https://aclanthology.org/2022.acl-long.358/) | Blank-based | ACL 2022 | - |
| [ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification](https://aclanthology.org/2022.acl-long.183/) | Blank-based | ACL 2022 | - |
| [Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning](https://aclanthology.org/2022.acl-long.85/) | Structure-linearized | ACL 2022 | [HuSe-Gen](https://github.com/swarnaHub/ExplagraphGen) |
| [Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking](https://aclanthology.org/2022.findings-acl.292/) | Structure-linearized | ACL 2022 | [EPGEL](https://github.com/laituan245/EL-Dockers/) |
| [From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer](https://dl.acm.org/doi/10.1145/3487553.3524238) | Structure-linearized | WWW 2022 | [GenKGC](https://github.com/zjunlp/PromptKG/tree/main/research/GenKGC) |
| [SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning](https://arxiv.org/abs/2201.06206) | Structure-linearized | EMNLP 2022 | - |
| [REBEL: Relation Extraction By End-to-end Language generation](https://aclanthology.org/2021.findings-emnlp.204/) | Structure-linearized | EMNLP 2021 | [REBEL](https://github.com/babelscape/rebel) |
| [Document-level Entity-based Extraction as Template Generation](https://aclanthology.org/2021.emnlp-main.426/) | Copy-based | EMNLP 2021 | [TEMPGEN](https://github.com/PlusLabNLP/TempGen) |
| [DEGREE: A Data-Efficient Generation-Based Event Extraction Model](https://aclanthology.org/2022.naacl-main.138/) | Blank-based | NAACL 2022 | [DEGREE](https://github.com/PlusLabNLP/DEGREE) |
| [HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction](https://aclanthology.org/2021.findings-acl.356/) | Structure-linearized | ACL 2021 | [HySPA](https://github.com/renll/HySPA) |
| [Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction](https://aclanthology.org/2021.acl-long.217/) | Structure-linearized | ACL 2021 | [Text2Event](https://github.com/luyaojie/text2event) |
| [Template Filling with Generative Transformers](https://aclanthology.org/2021.naacl-main.70/) | Blank-based | NAACL 2021 | [GTT](https://github.com/xinyadu/gtt) |
| [A Unified Generative Framework for Aspect-based Sentiment Analysis](https://aclanthology.org/2021.acl-long.188/) | Indice-based | ACL 2021 | [BARTABSA](https://github.com/yhcc/BARTABSA) |
| [A Unified Generative Framework for Various NER Subtasks](https://aclanthology.org/2021.acl-long.451/) | Indice-based | ACL 2021 | [BARTNER](https://github.com/yhcc/BARTNER) |
| [GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction](https://aclanthology.org/2021.eacl-main.52/) | Indice-based | EACL2021 | [GRIT](https://github.com/xinyadu/grit_doc_event_entity) |
| [Document-Level Event Argument Extraction by Conditional Generation](https://aclanthology.org/2021.naacl-main.69/) | Blank-based | NAACL 2021 | [BART-Gen](https://github.com/raspberryice/gen-arg) |
| [Structured Prediction as Translation between Augmented Natural Languages](https://openreview.net/forum?id=US-TP-xnXI) | Label-augmented | ICLR 2021 | [TANL](https://github.com/amazon-research/tanl) |
| [Intent Classification and Slot Filling for Privacy Policies](https://aclanthology.org/2021.acl-long.340/) | Structure-linearized | ACL 2021 | [PolicyIE](https://github.com/wasiahmad/PolicyIE) |
| [Autoregressive Entity Retrieval](https://openreview.net/forum?id=5k8F6UU39V) | Label-augmented | ICLR 2021 | [GENRE](https://github.com/facebookresearch/GENRE) |
| [Augmented Natural Language for Generative Sequence Labeling](https://aclanthology.org/2020.emnlp-main.27/) | Label-augmented | EMNLP 2020 | - |
| [Contrastive Information Extraction With Generative Transformer](https://ieeexplore.ieee.org/document/9537684) | Structure-linearized | TASLP 2021 | - |
| [Don’t Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing](https://dl.acm.org/doi/10.1145/3366423.3380064) | Indice-based | WWW 2022 | - |
| [CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning](https://ojs.aaai.org/index.php/AAAI/article/view/6495) | Copy-based | AAAI 2020 | [CopyMTL](https://github.com/WindChimeRan/CopyMTL) |
| [Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction](https://ojs.aaai.org/index.php/AAAI/article/view/6374) | Indice-based | AAAI 2020 | [PNDec](https://github.com/nusnlp/PtrNetDecoding4JERE) |
| [Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning](https://aclanthology.org/D19-1035/) | Copy-based | EMNLP 2019 | - |
| [Neural Architectures for Nested NER through Linearization](https://aclanthology.org/P19-1527/) | Structure-linearized | ACL 2019 | - |
| [Exploring Sequence-to-Sequence Learning in Aspect Term Extraction](https://aclanthology.org/P19-1344/) | Structure-linearize | ACL 2019 | - |
| [COMET: Commonsense Transformers for Automatic Knowledge Graph Construction](https://aclanthology.org/P19-1470/) | Blank-based | ACL 2019 | [COMET](https://github.com/atcbosselut/comet-commonsense) |
| [Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism](https://aclanthology.org/P18-1047/) | Copy-based | ACL 2018 | - |
| Papers | Method | Conference | Code |
|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------:|:-----------:|:----------------------------------------------------------------------:|
| [Autoregressive Structured Prediction with Language Models](https://arxiv.org/abs/2210.14698) | Label-augmented | EMNLP 2022 | [ASP](https://github.com/lyutyuh/ASP) |
| [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) |
| [Sequence-to-Sequence Knowledge Graph Completion and Question Answering](https://aclanthology.org/2022.acl-long.201) | Structure-linearized | ACL 2022 | [KGT5](https://github.com/apoorvumang/kgt5) |
| [Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction](https://aclanthology.org/2022.acl-long.466/) | Blank-based | ACL 2022 | [PAIE](https://github.com/mayubo2333/PAIE) |
| [De-Bias for Generative Extraction in Unified NER Task](https://aclanthology.org/2022.acl-long.59/) | Structure-linearized | ACL 2022 | - |
| [DeepStruct: Pretraining of Language Models for Structure Prediction](https://aclanthology.org/2022.findings-acl.67/) | Structure-linearized | ACL 2022 | [DeepStruct](https://github.com/cgraywang/deepstruct) |
| [Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction](https://aclanthology.org/2022.acl-long.317/) | Blank-based | ACL 2022 | [X-GEAR](https://github.com/PlusLabNLP/X-Gear) |
| [Dynamic Prefix-Tuning for Generative Template-based Event Extraction](https://aclanthology.org/2022.acl-long.358/) | Blank-based | ACL 2022 | - |
| [ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification](https://aclanthology.org/2022.acl-long.183/) | Blank-based | ACL 2022 | - |
| [Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning](https://aclanthology.org/2022.acl-long.85/) | Structure-linearized | ACL 2022 | [HuSe-Gen](https://github.com/swarnaHub/ExplagraphGen) |
| [Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking](https://aclanthology.org/2022.findings-acl.292/) | Structure-linearized | ACL 2022 | [EPGEL](https://github.com/laituan245/EL-Dockers/) |
| [From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer](https://dl.acm.org/doi/10.1145/3487553.3524238) | Structure-linearized | WWW 2022 | [GenKGC](https://github.com/zjunlp/PromptKG/tree/main/research/GenKGC) |
| [SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning](https://arxiv.org/abs/2201.06206) | Structure-linearized | EMNLP 2022 | - |
| [REBEL: Relation Extraction By End-to-end Language generation](https://aclanthology.org/2021.findings-emnlp.204/) | Structure-linearized | EMNLP 2021 | [REBEL](https://github.com/babelscape/rebel) |
| [Document-level Entity-based Extraction as Template Generation](https://aclanthology.org/2021.emnlp-main.426/) | Copy-based | EMNLP 2021 | [TEMPGEN](https://github.com/PlusLabNLP/TempGen) |
| [DEGREE: A Data-Efficient Generation-Based Event Extraction Model](https://aclanthology.org/2022.naacl-main.138/) | Blank-based | NAACL 2022 | [DEGREE](https://github.com/PlusLabNLP/DEGREE) |
| [HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction](https://aclanthology.org/2021.findings-acl.356/) | Structure-linearized | ACL 2021 | [HySPA](https://github.com/renll/HySPA) |
| [Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction](https://aclanthology.org/2021.acl-long.217/) | Structure-linearized | ACL 2021 | [Text2Event](https://github.com/luyaojie/text2event) |
| [Template Filling with Generative Transformers](https://aclanthology.org/2021.naacl-main.70/) | Blank-based | NAACL 2021 | [GTT](https://github.com/xinyadu/gtt) |
| [A Unified Generative Framework for Aspect-based Sentiment Analysis](https://aclanthology.org/2021.acl-long.188/) | Indice-based | ACL 2021 | [BARTABSA](https://github.com/yhcc/BARTABSA) |
| [A Unified Generative Framework for Various NER Subtasks](https://aclanthology.org/2021.acl-long.451/) | Indice-based | ACL 2021 | [BARTNER](https://github.com/yhcc/BARTNER) |
| [GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction](https://aclanthology.org/2021.eacl-main.52/) | Indice-based | EACL2021 | [GRIT](https://github.com/xinyadu/grit_doc_event_entity) |
| [Document-Level Event Argument Extraction by Conditional Generation](https://aclanthology.org/2021.naacl-main.69/) | Blank-based | NAACL 2021 | [BART-Gen](https://github.com/raspberryice/gen-arg) |
| [Structured Prediction as Translation between Augmented Natural Languages](https://openreview.net/forum?id=US-TP-xnXI) | Label-augmented | ICLR 2021 | [TANL](https://github.com/amazon-research/tanl) |
| [Intent Classification and Slot Filling for Privacy Policies](https://aclanthology.org/2021.acl-long.340/) | Structure-linearized | ACL 2021 | [PolicyIE](https://github.com/wasiahmad/PolicyIE) |
| [Autoregressive Entity Retrieval](https://openreview.net/forum?id=5k8F6UU39V) | Label-augmented | ICLR 2021 | [GENRE](https://github.com/facebookresearch/GENRE) |
| [Augmented Natural Language for Generative Sequence Labeling](https://aclanthology.org/2020.emnlp-main.27/) | Label-augmented | EMNLP 2020 | - |
| [Contrastive Information Extraction With Generative Transformer](https://ieeexplore.ieee.org/document/9537684) | Structure-linearized | TASLP 2021 | - |
| [Don’t Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing](https://dl.acm.org/doi/10.1145/3366423.3380064) | Indice-based | WWW 2022 | - |
| [CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning](https://ojs.aaai.org/index.php/AAAI/article/view/6495) | Copy-based | AAAI 2020 | [CopyMTL](https://github.com/WindChimeRan/CopyMTL) |
| [Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction](https://ojs.aaai.org/index.php/AAAI/article/view/6374) | Indice-based | AAAI 2020 | [PNDec](https://github.com/nusnlp/PtrNetDecoding4JERE) |
| [Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning](https://aclanthology.org/D19-1035/) | Copy-based | EMNLP 2019 | - |
| [Neural Architectures for Nested NER through Linearization](https://aclanthology.org/P19-1527/) | Structure-linearized | ACL 2019 | - |
| [Exploring Sequence-to-Sequence Learning in Aspect Term Extraction](https://aclanthology.org/P19-1344/) | Structure-linearize | ACL 2019 | - |
| [COMET: Commonsense Transformers for Automatic Knowledge Graph Construction](https://aclanthology.org/P19-1470/) | Blank-based | ACL 2019 | [COMET](https://github.com/atcbosselut/comet-commonsense) |
| [Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism](https://aclanthology.org/P18-1047/) | Copy-based | ACL 2018 | - |
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