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README.md

@@ -22,7 +22,6 @@
 
 
 
-
 ### Generating Word Indices
 
 - [A Unified Generative Framework for Various NER Subtasks](https://aclanthology.org/2021.acl-long.451.pdf)
@@ -51,6 +50,11 @@
 - [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
@@ -62,6 +66,15 @@
 ![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)
@@ -74,6 +87,14 @@
 - [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)
+
+
+
 
 ### Non-autogressive