Soyeon Caren Han

Orcid: 0000-0002-1948-6819

According to our database1, Soyeon Caren Han authored at least 73 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
MM-EMOG: Multi-Label Emotion Graph Representation for Mental Health Classification on Social Media.
Robotics, March, 2024

M3-VRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding.
CoRR, 2024

A Survey of Large Language Models in Finance (FinLLMs).
CoRR, 2024

SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

The Language Model Can Have the Personality: Joint Learning for Personality Enhanced Language Model (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SceneGATE: Scene-Graph Based Co-Attention Networks for Text Visual Question Answering.
Robotics, June, 2023

DDI-MuG: Multi-aspect graphs for drug-drug interaction extraction.
Frontiers Digit. Health, March, 2023

A Survey of Joint Intent Detection and Slot Filling Models in Natural Language Understanding.
ACM Comput. Surv., 2023

Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets.
CoRR, 2023

Graph Neural Networks for Text Classification: A Survey.
CoRR, 2023

PDFVQA: A New Dataset for Real-World VQA on PDF Documents.
CoRR, 2023

Form-NLU: Dataset for the Form Language Understanding.
CoRR, 2023

StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series.
CoRR, 2023


PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Form-NLU: Dataset for the Form Natural Language Understanding.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

PDF-VQA: A New Dataset for Real-World VQA on PDF Documents.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Visual Question Generation Under Multi-granularity Cross-Modal Interaction.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Workshop on Document Intelligence Understanding.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

In-Game Toxic Language Detection: Shared Task and Attention Residuals (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A survey on extraction of causal relations from natural language text.
Knowl. Inf. Syst., 2022

Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction.
CoRR, 2022

In-game Toxic Language Detection: Shared Task and Attention Residuals.
CoRR, 2022

An Analysis of Deep Reinforcement Learning Agents for Text-based Games.
CoRR, 2022

A Quantitative and Qualitative Analysis of Suicide Ideation Detection using Deep Learning.
CoRR, 2022

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification.
CoRR, 2022

Understanding Graph Convolutional Networks for Text Classification.
CoRR, 2022

GraDual: Graph-based Dual-modal Representation for Image-Text Matching.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

RoViST: Learning Robust Metrics for Visual Storytelling.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Vision-and-Language Pretrained Models: A Survey.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

InducT-GCN: Inductive Graph Convolutional Networks for Text Classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

V-Doc : Visual questions answers with Documents.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Understanding Attention for Vision-and-Language Tasks.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
Utilizing Text Mining, Data Linkage and Deep Learning in Police and Health Records to Predict Future Offenses in Family and Domestic Violence.
Frontiers Digit. Health, 2021

Local Interpretations for Explainable Natural Language Processing: A Survey.
CoRR, 2021

A survey of joint intent detection and slot-filling models in natural language understanding.
CoRR, 2021

FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Bi-Directional Joint Neural Networks for Intent Classification and Slot Filling.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

GLocal-K: Global and Local Kernels for Recommender Systems.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks.
CoRR, 2020

REXUP: I REason, I EXtract, I UPdate with Structured Compositional Reasoning for Visual Question Answering.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Detect All Abuse! Toward Universal Abusive Language Detection Models.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

VICTR: Visual Information Captured Text Representation for Text-to-Vision Multimodal Tasks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Low Resource Named Entity Recognition Using Contextual Word Representation and Neural Cross-Lingual Knowledge Transfer.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
RDR-based knowledge based system to the failure detection in industrial cyber physical systems.
Knowl. Based Syst., 2018

iCBLS: An interactive case-based learning system for medical education.
Int. J. Medical Informatics, 2018

A Hybrid Failure Diagnosis and Prediction using Natural Language-based Process Map and Rule-based Expert System.
Int. J. Comput. Commun. Control, 2018

A Data-Driven Knowledge Acquisition System: An End-to-End Knowledge Engineering Process for Generating Production Rules.
IEEE Access, 2018

Machine Learning for the Peer Assessment Credibility.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

A comparative study of online and face-to-face embedded systems learning course.
Proceedings of the 20th Australasian Computing Education Conference, Brisbane, QLD, Australia, January 30, 2018

2017
IoTFLiP: IoT-based flipped learning platform for medical education.
Digit. Commun. Networks, 2017

Intelligent Medical Case Based e-Learning System.
Proceedings of the Australasian Conference on Information Systems, 2017

2016
Chinese trending search terms popularity rank prediction.
Inf. Technol. Manag., 2016

Combining RDR-Based Machine Learning Approach and Human Expert Knowledge for Phishing Prediction.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Predicting the Scale of Trending Topic Diffusion Among Online Communities.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2016

Predicting the Rank of Trending Topics.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Open-Domain Question Answering Framework Using Wikipedia.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015
Exploring a role for MCRDR in enhancing telehealth diagnostics.
Multim. Tools Appl., 2015

Trending Topics Rank Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

2014
Using MCRDR based Agile approach for expert system development.
Computing, 2014

Arduface: An Embedded System Analysis Tool.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Twitter Trending Topics Meaning Disambiguation.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2014

2012
Crowd-Sourced Knowledge Bases.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012

Social Issue Gives You an Opportunity: Discovering the Personalised Relevance of Social Issues.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012

Identifying the Relevance of Social Issues to a Target.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

It Is Time to Prepare for the Future: Forecasting Social Trends.
Proceedings of the Computer Applications for Database, Education, and Ubiquitous Computing, 2012

2011
Emergency-Affected Population Identification and Notification by Using Online Social Networks.
Proceedings of the Software Engineering, Business Continuity, and Education, 2011


  Loading...