Fang Fang

According to our database, Fang Fang authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Sorting, Reasoning, and Extraction: An Easy-to-Hard Reasoning Framework for Document-Level Event Argument Extraction.

Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

DEIE: Benchmarking Document-level Event Information Extraction with a Large-scale Chinese News Dataset.

Yubing Ren, Yanan Cao, Hao Li, Yingjie Li, Zixuan ZM Ma, Fang Fang, Ping Guo, Wei Ma

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Towards Better Entity Linking with Multi-View Enhanced Distillation.

Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang

CoRR, 2023

A Multi-granularity Similarity Enhanced Model for Implicit Event Argument Extraction.

Yanhe Fu, Yi Liu, Yanan Cao, Yubing Ren, Qingyue Wang, Fang Fang, Cong Cao

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Seri: Sketching-Reasoning-Integrating Progressive Workflow for Empathetic Response Generation.

Guanqun Bi, Yanan Cao, Piji Li, Yuqiang Xie, Fang Fang, Zheng Lin

Proceedings of the IEEE International Conference on Acoustics, 2023

Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction.

Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation.

Yubing Ren, Yanan Cao, Ping Guo, Fang Fang, Wei Ma, Zheng Lin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation.

Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Weiwei Deng, Qi Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Heterogeneous Graph Attention Network for Malicious Domain Detection.

Zhiping Li, Fangfang Yuan, Yanbing Liu, Cong Cao, Fang Fang, Jianlong Tan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction.

Yubing Ren, Yanan Cao, Fang Fang, Ping Guo, Zheng Lin, Wei Ma, Yi Liu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View.

Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding.

Ren Li, Yanan Cao, Qiannan Zhu, Xiaoxue Li, Fang Fang

CoRR, 2021

Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification.

Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu

Proceedings of the Knowledge Science, Engineering and Management, 2021

No news is an island: Joint heterogeneous graph network for news classification.

Zhezhou Kang, Yi Liu, Guanqun Bi, Fang Fang, Pengfei Yin

Proceedings of the IEEE Symposium on Computers and Communications, 2021

Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling.

Lu Zhang, Yawei Kong, Fang Fang, Cong Cao, Yanan Cao, Yanbing Liu, Can Ma

Proceedings of the Computational Science - ICCS 2021, 2021

Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction.

Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Ruipeng Jia, Fang Fang, Shi Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network.

Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Deep Differential Amplifier for Extractive Summarization.

Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences.

Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Pengfei Yin, Shi Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

HIN: Hierarchical Inference Network for Document-Level Relation Extraction.

Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization.

Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder.

Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

DDNE: Discriminative Distance Metric Learning for Network Embedding.

Xiaoxue Li, Yangxi Li, Yanmin Shang, Lingling Tong, Fang Fang, Pengfei Yin, Jie Cheng, Jing Li

Proceedings of the Computational Science - ICCS 2020, 2020

Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network.

Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao, Shi Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DistilSum: : Distilling the Knowledge for Extractive Summarization.

Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu, Jianlong Tan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2016

Knowledge Extraction from Chinese Records of Cyber Attacks Based on a Semantic Grammar.

Fang Fang, Ya Wang, Luchen Zhang, Cungen Cao

Proceedings of the Knowledge Science, Engineering and Management, 2016

2015

A Chinese Framework of Semantic Taxonomy and Description: Preliminary Experimental Evaluation Using Web Information Extraction.

Liangjun Zang, Weimin Wang, Ya Wang, Fang Fang, Cong Cao, Xiaolong Wu, Qi Zhou, Ye Lu, Tingyu Li, Cungen Cao

Proceedings of the Knowledge Science, Engineering and Management, 2015