--- title: "Who cites Liheng Xu" description: "384 papers of the Elamur Research library cite the works of Liheng Xu, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/liheng-xu/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/liheng-xu/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Liheng Xu](https://md.research.elamur.ai/free/en/authors/liheng-xu/) / cited by # Who cites Liheng Xu 384 citations of their works from 384 papers of our library (of the 140,884 whose bibliographies we read) · 27 with a page here, the most cited first · [← Liheng Xu](https://md.research.elamur.ai/free/en/authors/liheng-xu/) 1. [**Knowledge Graphs**Aidan Hogan, Eva Blomqvist, Michael Cochez, et al.*2020 · 2,011 citations*](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/) 2. [**Joint Event Extraction via Recurrent Neural Networks**Thien Huu Nguyen, Kyunghyun Cho, Ralph Grishman*2016 · 881 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2016-joint-event-extraction-recurrent-neural/) 3. [**Event Extraction by Answering (Almost) Natural Questions**Xinya Du, Claire Cardie*2020 · 602 citations*](https://md.research.elamur.ai/free/en/papers/du-2020-event-extraction-answering-almost-natural/) 4. [**A Joint Neural Model for Information Extraction with Global Features**Ying Lin, Heng Ji, Fei Huang, et al.*2020 · 600 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-joint-neural-model-information-extraction/) 5. [**How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence**Haoxi Zhong, Chaojun Xiao, Cunchao Tu, et al.*2020 · 518 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-how-does-nlp-benefit-legal/) 6. [**Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation**Xiao Liu, Zhunchen Luo, Heyan Huang*2018 · 509 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-jointly-multiple-events-extraction-attention/) 7. [**FLAT: Chinese NER Using Flat-Lattice Transformer**Xiaonan Li, Hang Yan, Xipeng Qiu, et al.*2020 · 503 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-flat-chinese-ner-flat-lattice/) 8. [**Exploring Pre-trained Language Models for Event Extraction and Generation**Sen Yang, Dawei Feng, Linbo Qiao, et al.*2019 · 454 citations*](https://md.research.elamur.ai/free/en/papers/yang-2019-exploring-pre-trained-language-models/) 9. [**Event Extraction as Machine Reading Comprehension**Jian Liu, Yubo Chen, Kang Liu, et al.*2020 · 420 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-event-extraction-as-machine-reading/) 10. [**Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction**Yaojie Lu, Hongyu Lin, Jin Xu, et al.*2021 · 370 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-text2event-controllable-sequence-structure-generation/) 11. [**Joint Extraction of Events and Entities within a Document Context**Bishan Yang, Tom M. Mitchell*2016 · 317 citations*](https://md.research.elamur.ai/free/en/papers/yang-2016-joint-extraction-events-entities-within/) 12. [**Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms**Shulin Liu, Yubo Chen, Kang Liu, et al.*2017 · 309 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-exploiting-argument-information-improve-event/) 13. [**Multi-Sentence Argument Linking**Seth Ebner, Patrick Xia, Ryan Culkin, et al.*2020 · 281 citations*](https://md.research.elamur.ai/free/en/papers/ebner-2020-multi-sentence-argument-linking/) 14. [**Zero-Shot Transfer Learning for Event Extraction**Lifu Huang, Heng Ji, Kyunghyun Cho, et al.*2018 · 272 citations*](https://md.research.elamur.ai/free/en/papers/huang-2018-zero-shot-transfer-learning-event/) 15. [**MAVEN: A Massive General Domain Event Detection Dataset**Xiaozhi Wang, Ziqi Wang, Xu Han, et al.*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-maven-massive-general-domain-event/) 16. [**Event Extraction as Multi-turn Question Answering**Fayuan Li, Weihua Peng, Yuguang Chen, et al.*2020 · 250 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-event-extraction-as-multi-turn/) 17. [**A Language-Independent Neural Network for Event Detection**Xiaocheng Feng, Lifu Huang, Duyu Tang, et al.*2016 · 226 citations*](https://md.research.elamur.ai/free/en/papers/feng-2016-language-independent-neural-network-event/) 18. [**Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction**Yubo Ma, Zehao Wang, Yixin Cao, et al.*2022 · 225 citations*](https://md.research.elamur.ai/free/en/papers/ma-2022-prompt-extraction-paie-prompting-argument/) 19. [**Event Detection and Co-reference with Minimal Supervision**Haoruo Peng, Yangqiu Song, Dan Roth*2016 · 180 citations*](https://md.research.elamur.ai/free/en/papers/peng-2016-event-detection-co-reference-minimal/) 20. [**Leveraging FrameNet to Improve Automatic Event Detection**Shulin Liu, Yubo Chen, Shizhu He, et al.*2016 · 163 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-leveraging-framenet-improve-automatic-event/) 21. [**A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution**Tuan Lai, Heng Ji, Trung Bui, et al.*2021 · 48 citations*](https://md.research.elamur.ai/free/en/papers/lai-2021-context-dependent-gated-module-incorporating/) 22. [**A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing**Zeyu Dai, Ruihong Huang*2019 · 46 citations*](https://md.research.elamur.ai/free/en/papers/dai-2019-regularization-approach-incorporating-event-knowledge/) 23. [**Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew**Adam Amram, Anat Ben David, Reut Tsarfaty*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/amram-2018-representations-architectures-neural-sentiment-analysis/) 24. [**Event Detection Using Frame-Semantic Parser**Evangelia Spiliopoulou, Eduard Hovy, Teruko Mitamura*2017 · 17 citations*](https://md.research.elamur.ai/free/en/papers/spiliopoulou-2017-event-detection-frame-semantic-parser/) 25. [**Research Progress and Trend of Temporal Knowledge Graph Representation and Reasoning (时序知识图谱表示与推理的研究进展与趋势)**Yuhan Wang (王俞涵), Ziyang Chen (陈子阳), Xiang Zhao (赵翔), et al.*2024*](https://md.research.elamur.ai/free/en/papers/wang-2024-trend-temporal-knowledge/) 26. [**Survey on Representation Learning Methods of Knowledge Graph for Link Prediction (面向链接预测的知识图谱表示学习方法综述)**Xueying Du (杜雪盈), Mingwei Liu (刘名威), Liwei Shen (沈立炜), et al.*2023*](https://md.research.elamur.ai/free/en/papers/du-2023-representation-learning-methods/) 27. [**Overview on Knowledge Graph Embedding Technology Research (知识图谱嵌入技术研究综述)**Tiancheng Zhang (张天成), Xue Tian (田雪), Xianghui Sun (孙相会), et al.*2021*](https://md.research.elamur.ai/free/en/papers/zhang-2021-overview-knowledge-graph/) 357 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/liheng-xu/) — Liheng Xu