KeyphraseExtractionSurvey

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KeyphraseExtractionSurvey

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Data for EACL 2023 paper "A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models".

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<p align="center">
<h1 align="center">Keyphrase Extraction Papers</h1>
</p>
<p align="center">
⭐️⭐️⭐️Call For Cooperators⭐️⭐️⭐️
</p>
Organized by Mingyang Song (mingyang.song@bjtu.edu.cn).

## LLM
1. [Is ChatGPT A Good Keyphrase Generator? A Preliminary Study]([https://ieeexplore.ieee.org/abstract/document/8594884](https://arxiv.org/abs/2303.13001)), *Mingyang Song, Haiyun Jiang, Shuming Shi, Songfang Yao, Shilong Lu, Yi Feng, Huafeng Liu, Liping Jing*, ARXIV2023, [Data](https://github.com/MySong7NLPer/ChatGPT_as_Keyphrase_Generator).

## Toolkit
1. **[PKE: An Open Source Python-based Keyphrase Extraction Toolkit](https://aclanthology.org/C16-2015.pdf)**, *Florian Boudin*, COLING2016, [Code](https://github.com/boudinfl/pke).

2. **[Self-supervised Contextual Keyword and Keyphrase Retrieval with Self-Labelling](https://www.preprints.org/manuscript/201908.0073/v1)**, *Prafull Sharma and Yingbo Li*, ArXiv2019, [KeyBERT](https://maartengr.github.io/KeyBERT/), [Code](https://github.com/MaartenGr/keyBERT).

## Recent Popular Papers
### Supervised Models
1. [Exploiting Topic-based Adversarial Neural Network for Cross-domain Keyphrase Extraction](https://ieeexplore.ieee.org/abstract/document/8594884), *Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen and Hui Xiong*, ICDM2018, [Code](https://github.com/wwwyn/TANN).

2. [Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter](https://aclanthology.org/D16-1080.pdf), *Qi Zhang, Yang Wang, Yeyun Gong, Xuanjing Huang*, EMNLP2016.

3. [Supervised Keyphrase Extraction as Positive Unlabeled Learning](https://aclanthology.org/D16-1198.pdf), *Lucas Sterckx, Cornelia Caragea, Thomas Demeester, Chris Develder*, EMNLP2016.

4. [Using Human Attention to Extract Keyphrase from Microblog Post](https://aclanthology.org/P19-1588/), *Yingyi Zhang, Chengzhi Zhang*, ACL2019.

5. [Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings](https://arxiv.org/pdf/1910.08840.pdf), *Dhruva Sahrawat, Debanjan Mahata, Raymond Zhang, Mayank Kulkarni, Agniv Sharma, Rakesh Gosangi, Amanda Stent, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann*, ArXiv2019.

6. [Open Domain Web Keyphrase Extraction Beyond Language Modeling](https://aclanthology.org/D19-1521/), *Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk*, EMNLP2019.

7. [Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction](https://aclanthology.org/N19-1182/), *Animesh Prasad, Min-Yen Kan*, NAACL2019.

8. [DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases](https://dl.acm.org/doi/abs/10.1145/3331184.3331219), *Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, Jian-Yun Nie*, SIGIR2019.

9. [Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents](https://dl.acm.org/doi/abs/10.1145/3308558.3313642), *Rabah A. Al-Zaidy, Cornelia Caragea, C. Lee Giles*, WWW2019.

10. [A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents](https://aclanthology.org/2020.coling-main.56/), *Tuan Manh Lai, Trung Bui, Doo Soon Kim, Quan Hung Tran*, COLING2020.

11. [Joint Keyphrase Chunking and Salience Ranking with BERT](https://openreview.net/forum?id=duSg8EGOlX3), *Si Sun, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Jie Bao*, ArXiv2020, [Code](https://github.com/thunlp/BERT-KPE).

12. [Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference](https://arxiv.org/abs/2010.12828), *Haoyu Zhang, Dingkun Long, Guangwei Xu, Pengjun Xie, Fei Huang, Ji Wang*, ArXiv2020.

13. [Keyphrase Extraction with Span-based Feature Representations](https://arxiv.org/abs/2002.05407), *Funan Mu, Zhenting Yu, LiFeng Wang, Yequan Wang, Qingyu Yin, Yibo Sun, Liqun Liu, Teng Ma, Jing Tang, Xing Zhou*, ArXiv2020.

14. [Incorporating Multimodal Information in Open-Domain Web Keyphrase Extraction](https://aclanthology.org/2020.emnlp-main.140/), *Yansen Wang et al.*, EMNLP2020, [Code](https://github.com/victorywys/SMART-KPE.).

15. [Capturing Global Informativeness in Open Domain Keyphrase Extraction](https://link.springer.com/chapter/10.1007/978-3-030-88483-3_21), *Si Sun, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, and Jie Bao*, NLPCC2021, [Code](https://github.com/thunlp/BERT-KPE).

16. [Importance Estimation from Multiple Perspectives for Keyphrase Extraction](https://aclanthology.org/2021.emnlp-main.215/), *Mingyang Song, Liping Jing and Lin Xiao*, EMNLP2021.

17. [Hyperbolic Relevance Matching for Neural Keyphrase Extraction](https://arxiv.org/abs/2205.02047), *Mingyang Song, Yi Feng and Liping Jing*, NAACL2022, [Code](https://github.com/MySong7NLPer/HyperMatch).

### Unsupervised Models
1. [Automatic Keyphrase Extraction via Topic Decomposition](https://aclanthology.org/D10-1036.pdf), *Zhiyuan Liu, Wenyi Huang, Yabin Zheng and Maosong Sun*, EMNLP2010.

2. [PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents](https://aclanthology.org/P17-1102/), *Corina Florescu and Cornelia Caragea*, ACL2017.

3. [SalienceRank: Efficient Keyphrase Extraction with Topic Modeling](https://aclanthology.org/P17-2084/), *Nedelina Teneva, Weiwei Cheng*, ACL2017, [Code](https://github.com/methanet/saliencerank.git.).

4. [Simple Unsupervised Keyphrase Extraction using Sentence Embeddings](https://aclanthology.org/K18-1022/?ref=https://githubhelp.com), *Kamil Bennani-Smires, Claudiu Musat, Andreaa Hossmann, Michael Baeriswyl, Martin Jaggi*, CoNLL 2018, [Code](https://github.com/swisscom/ai-research-keyphrase-extraction).

5. [WikiRank:Improving Keyphrase Extraction Based on Background Knowledge](https://arxiv.org/abs/1803.09000), *Yang Yu, Vincent Ng*, ArXiv2018.

6. [KeyGames: A Game Theoretic Approach to Automatic Keyphrase Extraction](https://aclanthology.org/2020.coling-main.184/), *Arnav Saxena, Mudit Mangal and Goonjan Jain*, COLING2020\(Outstanding Paper Award\), [Code](https://github.com/mangalm96/KeyGames-pke).

7. [Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning](https://aclanthology.org/2020.coling-main.472/), *Seo Yeon Park, Cornelia Caragea*, COLING2020.

8. [SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-Trained Language Model](https://ieeexplore.ieee.org/abstract/document/8954611), *YI SUN, HANGPING QIU, YU ZHENG, ZHONGWEI WANG, AND CHAORAN ZHANG*, IEEE Access2020, [Code](https://github.com/sunyilgdx/SIFRank).

9. [AttentionRank: Unsupervised keyphrase Extraction using Self and Cross Attentions](https://aclanthology.org/2021.emnlp-main.146/), *Haoran Ding and Xiao Luo*, EMNLP2021, [Code](https://github.com/hd10-iupui/AttentionRank).

10. [Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context](https://aclanthology.org/2021.emnlp-main.14.pdf), *Xinnian Liang, Shuangzhi Wu, Mu Li, and Zhoujun Li*, EMNLP2021, [Code](https://github.com/xnliang98/uke_ccrank), [Code for Chinese](https://github.com/xnliang98/CKE-ZH).

11. [MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction](https://arxiv.org/abs/2110.06651), *Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Shiliang Zhang, Bing Li, Wei Wang, Xin Cao*, ArXiv2021.

12. [Extending Neural Keyword Extraction with TF-IDF tagset matching](https://aclanthology.org/2021.hackashop-1.4/), *Boshko Koloski et al.*, EACL2021.

13. [Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset](https://arxiv.org/abs/2110.01073), *Ori Shapira, Ramakanth Pasunuru, Ido Dagan, and Yael Amsterdamer*, ArXiv2021.

14. [Enhancing Keyphrase Extraction from Academic Articles with their Reference Information](https://arxiv.org/pdf/2111.14106.pdf), *Chengzhi Zhang, Lei Zhao, Mengyuan Zhao, Yingyi Zhang*, ArXiv2021, [Code](https://bagithub.com/chengzhizhang/Keyphrase_Extraction).

15. [Unsupervised Keyphrase Extraction via Interpretable Neural Networks](https://arxiv.org/abs/2203.07640), *Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov*, ArXiv2022.

16. [AGRank: Augmented Graph-based Unsupervised Keyphrase Extraction](https://aclanthology.org/2022.aacl-main.19.pdf), *Haoran Ding and Xiao Luo*, AACL2022.

17. [Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information](https://aclanthology.org/2023.findings-acl.66.pdf), *Mingyang Song, Huafeng Liu, Yi Feng, Liping Jing*, ACL2023.

18. [Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function](https://aclanthology.org/2023.findings-acl.156.pdf), *Mingyang Song, Haiyun Jiang, Lemao Liu, Shuming Shi, Liping Jing*, ACL2023.

19. [Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process](https://dl.acm.org/doi/10.1145/3583780.3615141), *Mingyang Song, Huafeng Liu, Liping Jing*, CIKM2023.

20. [HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction](https://aclanthology.org/2023.emnlp-main.997.pdf), *Mingyang Song, Huafeng Liu, Liping Jing*, EMNLP2023.

21. [Mitigating Over-generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection](https://aclanthology.org/2023.emnlp-main.1017.pdf), *Mingyang Song, Pengyu Xu, Yi Feng, Huafeng Liu, Liping Jing*, EMNLP2023.

22. [PromptRank: Unsupervised Keyphrase Extraction Using Prompt](https://aclanthology.org/2023.acl-long.545.pdf), *Aobo Kong, Shiwan Zhao, Hao Chen, Qicheng Li, Yong Qin, Ruiqi Sun, Xiaoyan Bai*, ACL2023.

## Survey
1. [Automatic Keyphrase Extraction: A Survey of the State of the Art](https://aclanthology.org/P14-1119.pdf), *Kazi Saidul Hasan and Vincent Ng*, ACL2014.
2. [A Review of Keyphrase Extraction](https://arxiv.org/abs/1905.05044), *Eirini Papagiannopoulou and Grigorios Tsoumakas*, ArXiv2019.
3. [A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models](https://aclanthology.org/2023.findings-eacl.161.pdf), *Mingyang Song, Yi Feng and Liping Jing*, EACL2023.

The other descriptions ([KeywordExtractor-Datasets](https://github.com/LIAAD/KeywordExtractor-Datasets), [ake-datasets](https://github.com/boudinfl/ake-datasets)) of keyphrase extraction datasets.

## Other Papers
### Unified Supervised Models

1. [An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction](https://aclanthology.org/N19-1292/), *Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King*, NAACL2019, [Code](https://github.com/Chen-Wang-CUHK/KG-KE-KR-M).

2. [Keyphrase Prediction With Pre-trained Language Model](https://arxiv.org/abs/2004.10462), *Rui Liu, Zheng Lin, Weiping Wang*, ArXiv2020.

3. [SenSeNet: Neural Keyphrase Generation with Document Structure](https://arxiv.org/abs/2012.06754), *Yichao Luo, Zhengyan Li, Bingning Wang, Xiaoyu Xing, Qi Zhang, Xuanjing Huang*, ArXiv2020.

4. [UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction](https://aclanthology.org/2021.findings-acl.73.pdf), *Huanqin Wu, Wei Liu, Lei Li, Dan Nie, Tao Chen, Feng Zhang, Di Wang*, ACL2021, [Code](https://github.com/thinkwee/UniKeyphrase).

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