Bin Ji

Orcid: 0000-0002-5508-5051

Affiliations:

National University of Defense Technology, College of Computer, Changsha, China

According to our database¹, Bin Ji authored at least 22 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

SWEA: Changing Factual Knowledge in Large Language Models via Subject Word Embedding Altering.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Dynamic Multi-View Fusion Mechanism for Chinese Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Learning Well-Separated and Representative Prototypes for Few-Shot Event Detection.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2023

QAE: A Hard-Label Textual Attack Considering the Comprehensive Quality of Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2023

2022

Textual adversarial attacks by exchanging text-self words.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., December, 2022

S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition.

[BibT_eX]

[DOI]

Sensors, 2022

A novel bundling learning paradigm for named entity recognition.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Span-based joint entity and relation extraction augmented with sequence tagging mechanism.

[BibT_eX]

[DOI]

CoRR, 2022

A Two-Phase Paradigm for Joint Entity-Relation Extraction.

[BibT_eX]

[DOI]

CoRR, 2022

A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search.

[BibT_eX]

[DOI]

CoRR, 2022

Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes.

[BibT_eX]

[DOI]

CoRR, 2022

Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

Topic-Grained Text Representation-Based Model for Document Retrieval.

[BibT_eX]

[DOI]

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

Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes.

[BibT_eX]

[DOI]

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

SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism.

[BibT_eX]

[DOI]

CoRR, 2021

Span Representation Generation Method in Entity-Relation Joint Extraction.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2021

A Unified Summarization Model with Semantic Guide and Keyword Coverage Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Research on Chinese medical named entity recognition based on collaborative cooperation of multiple neural network models.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2020

Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

A hybrid approach for named entity recognition in Chinese electronic medical record.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2019

2018

A BiLSTM-CRF Method to Chinese Electronic Medical Record Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Algorithms, 2018

Bin Ji

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...