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README.md

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 ### Label-augmented Text
 - [Structured Prediction as Translation between Augmented Natural Languages](https://openreview.net/pdf?id=US-TP-xnXI) 
-![Structured Prediction as Translation between Augmented Natural Languages](figure/Structured%20Prediction%20as%20Translation%20between%20Augmented%20Natural%20Languages.png)
 
 - [Augmented Natural Language for Generative Sequence Labeling](https://aclanthology.org/2020.emnlp-main.27.pdf)
-![Augmented Natural Language for Generative Sequence Labeling](figure/Augmented%20Natural%20Language%20for%20Generative%20Sequence%20Labeling.png)
 
 
 ### Copy Mechanism
 
 - [Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism](https://aclanthology.org/P18-1047.pdf)
-![Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism](figure/Extracting%20Relational%20Facts%20by%20an%20End-to-End%20Neural%20Model%20with%20Copy%20Mechanism.png)
 
 - [Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning](https://aclanthology.org/D19-1035.pdf)
-![Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning](figure/Learning%20the%20Extraction%20Order%20of%20Multiple%20Relational%20Facts%20in%20a%20Sentence%20with%20Reinforcement%20Learning.png)
 
 - [CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning](https://ojs.aaai.org/index.php/AAAI/article/view/6495)
-![CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning](figure/CopyMTL%20Copy%20Mechanism%20for%20Joint%20Extraction%20of%20Entities%20and%20Relations%20with%20Multi-Task%20Learning.png)
 
 
 
 ### Generating Word Indices
 
 - [A Unified Generative Framework for Various NER Subtasks](https://aclanthology.org/2021.acl-long.451.pdf)
-![A Unified Generative Framework for Various NER Subtasks](figure/A%20Unified%20Generative%20Framework%20for%20Various%20NER%20Subtasks.png)
 
 - [A Unified Generative Framework for Aspect-Based Sentiment Analysis](https://aclanthology.org/2021.acl-long.188.pdf)
-![A Unified Generative Framework for Aspect-Based Sentiment Analysis](figure/A%20Unified%20Generative%20Framework%20for%20Aspect-based%20Sentiment%20Analysis.png)
 
-![A Unified Generative Framework for Aspect-Based Sentiment Analysis2](figure/A%20Unified%20Generative%20Framework%20for%20Aspect-based%20Sentiment%20Analysis2.png)
 
 - [Don’t Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing](https://dl.acm.org/doi/pdf/10.1145/3366423.3380064)
-![Don’t Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing](figure/Don’t%20Parse,%20Generate!%20A%20Sequence%20to%20Sequence%20Architecture%20for%20Task-Oriented%20Semantic%20Parsing.png)
 
 - [Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction](https://ojs.aaai.org/index.php/AAAI/article/view/6374)
-![Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction](figure/Effective%20Modeling%20of%20Encoder-Decoder%20Architecture%20for%20Joint%20Entity%20and%20Relation%20Extraction1.png)
 
-![Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction](figure/Effective%20Modeling%20of%20Encoder-Decoder%20Architecture%20for%20Joint%20Entity%20and%20Relation%20Extraction2.png)
 
 
 
 ### Generating Answers
 
 - [Event Extraction by Answering (Almost) Natural Questions](https://aclanthology.org/2020.emnlp-main.49.pdf)
-![Event Extraction by Answering (Almost) Natural Questions](figure/Event%20Extraction%20by%20Answering%20(Almost)%20Natural%20Questions.png)
 
 - [Event Extraction as Machine Reading Comprehension](https://aclanthology.org/2020.emnlp-main.128.pdf)
-![Event Extraction as Machine Reading Comprehension](figure/Event%20Extraction%20as%20Machine%20Reading%20Comprehension.png)
 
 - [Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?](https://aclanthology.org/2021.acl-long.251.pdf)
-![Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?](figure/Can%20Generative%20Pre-trained%20Language%20Models%20Serve%20As%20Knowledge%20Bases%20for%20Closed-book%20QA.png)
 
 - [Answer Generation for Retrieval-based Question Answering Systems](https://aclanthology.org/2021.findings-acl.374.pdf)
-![Answer Generation for Retrieval-based Question Answering Systems](figure/Answer%20Generation%20for%20Retrieval-based%20Question%20Answering%20Systems.png)
 
 
 ### Filling Templates
 
 - [Document-Level Event Argument Extraction by Conditional Generation](https://aclanthology.org/2021.naacl-main.69.pdf)
-![Document-Level Event Argument Extraction by Conditional Generation](figure/Document-Level%20Event%20Argument%20Extraction%20by%20Conditional%20Generation.png)
 
 - [Template Filling with Generative Transformers](https://aclanthology.org/2021.naacl-main.70.pdf)
-![Template Filling with Generative Transformers](figure/Template%20Filling%20with%20Generative%20Transformers.png)
 
 
 ### Tagging Texts
 
 - [Neural Architectures for Nested NER through Linearization](https://aclanthology.org/P19-1527.pdf)
-![Neural Architectures for Nested NER through Linearization](figure/Neural%20Architectures%20for%20Nested%20NER%20through%20Linearization.png)
 
 - [Exploring Sequence-to-Sequence Learning in Aspect Term Extraction](https://aclanthology.org/P19-1344.pdf)
-![Exploring Sequence-to-Sequence Learning in Aspect Term Extraction](figure/Exploring%20Sequence-to-Sequence%20Learning%20in%20Aspect%20Term%20Extraction.png)
 
 
 ### Structurelinearized Texts
 
 - [Contrastive Information Extraction With Generative Transformer](https://ieeexplore.ieee.org/document/9537684)
 - [Contrastive Triple Extraction with Generative Transformer](https://ojs.aaai.org/index.php/AAAI/article/view/17677)
-![Contrastive Information Extraction With Generative Transformer](figure/Contrastive%20Information%20Extraction%20With.png)
 
 - [HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction](https://aclanthology.org/2021.findings-acl.356.pdf)
-![HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction](figure/HySPA%20Hybrid%20Span%20Generation%20for%20Scalable%20Text-to-Graph%20Extraction.png)
 
 - [Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction](https://aclanthology.org/2021.acl-long.217.pdf)
-![Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction](figure/Text2Event%20Controllable%20Sequence-to-Structure%20Generation%20for%20End-to-end%20Event%20Extraction.png)
 
 - [Intent Classification and Slot Filling for Privacy Policies](https://aclanthology.org/2021.acl-long.340.pdf)
-![Intent Classification and Slot Filling for Privacy Policies](figure/Intent%20Classification%20and%20Slot%20Filling%20for%20Privacy%20Policies.png)
 
 - [Unified Structure Generation for Universal Information Extraction](https://arxiv.org/pdf/2203.12277.pdf)
-![Unified Structure Generation for Universal Information Extraction](figure/Unified%20Structure%20Generation%20for%20Universal%20Information%20Extraction.png)
 
 
 
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 ### Non-autogressive
 
 - [Joint Entity and Relation Extraction with Set Prediction Networks](http://arxiv.org/abs/2011.01675)
-![Joint Entity and Relation Extraction with Set Prediction Networks](figure/Joint%20Entity%20and%20Relation%20Extraction%20with%20Set%20Prediction%20Networks.png)
 
 
 ### Combinations
@@ -111,13 +86,11 @@
 ### Ranking Input-output Pairs
 
 - [Beyond [CLS] through Ranking by Generation](https://aclanthology.org/2020.emnlp-main.134.pdf)
-![Beyond [CLS] through Ranking by Generation](figure/Beyond%20%5BCLS%5D%20through%20Ranking%20by%20Generation.png)
 
 - [Document Ranking with a Pretrained Sequence-to-Sequence Model](https://aclanthology.org/2020.findings-emnlp.63.pdf)
-![Document Ranking with a Pretrained Sequence-to-Sequence Model](figure/Document%20Ranking%20with%20a%20Pretrained%20Sequence-to-Sequence%20Model.png)
 
 - [Autoregressive Entity Retrieval](https://openreview.net/pdf?id=5k8F6UU39V)
-![Autoregressive Entity Retrieval](figure/Autoregressive%20Entity%20Retrieval.png)
 
 - [Template-Based Named Entity Recognition Using BART](https://aclanthology.org/2021.findings-acl.161.pdf)
-![Template-Based Named Entity Recognition Using BART](figure/Template-Based%20Named%20Entity%20Recognition%20Using%20BART.png)
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