World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4373
World Ranking
12724
National Ranking
118

Overview

Yun-Nung Chen is affiliated with National Taiwan University in Taiwan and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields. Their scholarly work spans Natural Language Processing, speech and dialogue systems, vision, and atmospheric science, among other technical areas.

The main fields of study in Chen's research portfolio include:

  • Computer Science

Within computer science, their work predominantly covers these subfields:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Atmospheric Science
  • Information Systems
  • General Social Sciences

The primary research topics addressed by Chen include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and dialogue systems
  • Multimodal Machine Learning Applications
  • Speech Recognition and Synthesis
  • Text and Document Classification Technologies
  • Domain Adaptation and Few-Shot Learning

Chen has published a significant number of papers, with notable recent works including:

  • Overview of the Ninth Dialog System Technology Challenge: DSTC9, 2020, arXiv (Cornell University)
  • The Prevalence and Impact of Fake News on COVID-19 Vaccination in Taiwan: Retrospective Study of Digital Media, 2022, Journal of Medical Internet Research
  • Overview of the Ninth Dialog System Technology Challenge: DSTC9, 2024, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model, 2020, Computer Speech & Language
  • Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

The venues where Chen's research is frequently published include:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Computer Speech & Language
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of Medical Internet Research

Collaborations are an important aspect of Chen's academic work. Frequent coauthors include:

  • Chao-Wei Huang
  • Shang-Yu Su
  • Hung-yi Lee
  • Ting-Rui Chiang

Best Publications

  • Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM.

    Dilek Hakkani-Tür;Gokhan Tur;Asli Celikyilmaz;Yun-Nung Chen

  • Slot-gated modeling for joint slot filling and intent prediction

    Chih Wen Goo;Guang Gao;Yun Kai Hsu;Chih Li Huo

  • Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

    Bhuwan Dhingra;Lihong Li;Xiujun Li;Jianfeng Gao

  • End-to-End Task-Completion Neural Dialogue Systems

    Xiujun Li;Yun-Nung Chen;Lihong Li;Jianfeng Gao

  • A User Simulator for Task-Completion Dialogues

    Xiujun Li;Zachary C. Lipton;Bhuwan Dhingra;Lihong Li

  • End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding.

    Yun-Nung Chen;Dilek Hakkani-Tür;Gokhan Tur;Jianfeng Gao

  • Tree transformer: Integrating tree structures into self-attention

    Yaushian Wang;Hung-Yi Lee;Yun-Nung Chen

  • Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame-semantic parsing

    Yun-Nung Chen;William Yang Wang;Alexander I. Rudnicky

  • Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems

    Ting-Rui Chiang;Yun-Nung Chen

  • Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts

    Chih-Wen Goo;Yun-Nung Chen

  • DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs

    Yi-Lin Tuan;Yun-Nung Chen;Hung-yi Lee

  • End-to-end joint learning of natural language understanding and dialogue manager

    Xuesong Yang;Yun-Nung Chen;Dilek Hakkani-Tur;Paul Crook

  • Zero-shot learning of intent embeddings for expansion by convolutional deep structured semantic models

    Yun-Nung Chen;Dilek Hakkani-Tur;Xiaodong He

  • Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning

    Shang-Yu Su;Xiujun Li;Jianfeng Gao;Jingjing Liu

  • Detecting Actionable Items in a Conversation among Participants

    Dilek Zeynep Hakkani-Tur;Xiaodong He;Yun-Nung Chen

  • What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding

    Yu-An Wang;Yun-Nung Chen

  • Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning

    Baolin Peng;Xiujun Li;Jianfeng Gao;Jingjing Liu

  • PLM-ICD: Automatic ICD Coding with Pretrained Language Models

    Unknown

  • LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

    Unknown

  • Syntax or semantics? knowledge-guided joint semantic frame parsing

    Yun-Nung Chen;Dilek Hakanni-Tur;Gokhan Tur;Asli Celikyilmaz

  • Deep Learning for Dialogue Systems

    Yun-Nung Chen;Asli Celikyilmaz;Dilek Hakkani-Tur

  • How time matters: Learning time-decay attention for contextual spoken language understanding in dialogues

    Shang-Yu Su;Pei-Chieh Yuan;Yun-Nung Chen

  • Overview of the Ninth Dialog System Technology Challenge: DSTC9

    Chulaka Gunasekara;Seokhwan Kim;Luis Fernando D'Haro;Abhinav Rastogi

Frequent Co-Authors

Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Alexander I. Rudnicky
Alexander I. Rudnicky Carnegie Mellon University
Hung-yi Lee
Hung-yi Lee National Taiwan University
Dilek Hakkani-Tur
Dilek Hakkani-Tur University of Illinois at Urbana-Champaign
Li Deng
Li Deng Citadel
Asli Celikyilmaz
Asli Celikyilmaz Facebook (United States)
Lin-Shan Lee
Lin-Shan Lee National Taiwan University
Gokhan Tur
Gokhan Tur Amazon (United States)
William Yang Wang
William Yang Wang University of California, Santa Barbara
Florian Metze
Florian Metze Carnegie Mellon University

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