Fang Fang

Affiliations:
  • Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China


According to our database1, Fang Fang authored at least 25 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Towards Better Entity Linking with Multi-View Enhanced Distillation.
CoRR, 2023

A Multi-granularity Similarity Enhanced Model for Implicit Event Argument Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Seri: Sketching-Reasoning-Integrating Progressive Workflow for Empathetic Response Generation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction.
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.
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.
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.
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.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View.
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.
CoRR, 2021

Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2021

No news is an island: Joint heterogeneous graph network for news classification.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling.
Proceedings of the Computational Science - ICCS 2021, 2021

Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2021

TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Deep Differential Amplifier for Extractive Summarization.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
HIN: Hierarchical Inference Network for Document-Level Relation Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

DDNE: Discriminative Distance Metric Learning for Network Embedding.
Proceedings of the Computational Science - ICCS 2020, 2020

Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DistilSum: : Distilling the Knowledge for Extractive Summarization.
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.
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.
Proceedings of the Knowledge Science, Engineering and Management, 2015


  Loading...