World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
13030
World Ranking
2798
National Ranking
381

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to human-machine interactions

Overview

Pascale Fung is affiliated with the Hong Kong University of Science and Technology in China and has an extensive publication record primarily in the field of Computer Science, with a focus on Artificial Intelligence.

The scientist's research covers a variety of subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Signal Processing, and Experimental and Cognitive Psychology.

Major topics of work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech and dialogue systems
  • Speech Recognition and Synthesis
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques

Frequent coauthors in collaboration with Pascale Fung are:

  • Samuel Cahyawijaya
  • Andrea Madotto
  • Genta Indra Winata
  • Tiezheng Yu
  • Zihan Liu

The most common venues for publishing include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • ACM Computing Surveys
  • Findings of the Association for Computational Linguistics: ACL 2022

Recent papers by Pascale Fung include:

  • Survey of Hallucination in Natural Language Generation, 2022, ACM Computing Surveys
  • InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning, 2023, arXiv (Cornell University)
  • A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity, 2023, arXiv (Cornell University)
  • IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding, 2020, arXiv (Cornell University)
  • Survey of Hallucination in Natural Language Generation, 2022, arXiv (Cornell University)

In 2015, Pascale Fung was recognized as an IEEE Fellow for contributions to human-machine interactions.

Best Publications

  • An IR Approach for Translating New Words from Nonparallel, Comparable Texts

    Pascale Fung;Lo Yuen Yee

  • Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

    Chien-Sheng Wu;Andrea Madotto;Ehsan Hosseini-Asl;Caiming Xiong

  • A Statistical View on Bilingual Lexicon Extraction: From Parallel Corpora to Non-parallel Corpora

    Pascale Fung

  • One-step and Two-step Classification for Abusive Language Detection on Twitter

    Ji Ho Park;Pascale N. Fung

  • Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

    Andrea Madotto;Chien-Sheng Wu;Pascale Fung

  • Reducing Gender Bias in Abusive Language Detection

    Ji Ho Park;Jamin Shin;Pascale Fung

  • Statistical View on Bilingual Lexicon Extraction : From Parallel Corpora to Non-parallel Corpora

    P. Fung

  • IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding

    Bryan Wilie;Karissa Vincentio;Genta Indra Winata;Samuel Cahyawijaya

  • Overview for the First Shared Task on Language Identification in Code-Switched Data

    Unknown

  • K-vec: a new approach for aligning parallel texts

    Pascale Fung;Kenneth Ward Church

  • Finding Terminology Translations from Non-parallel Corpora

    Pascale Fung

  • Overview for the First Shared Task on Language Identification in Code-Switched Data

    Thamar Solorio;Elizabeth Blair;Suraj Maharjan;Steven Bethard

  • Compiling Bilingual Lexicon Entries From a Non-Parallel English-Chinese Corpus

    Pascale N. Fung

  • MoEL: Mixture of Empathetic Listeners.

    Zhaojiang Lin;Andrea Madotto;Jamin Shin;Peng Xu

  • Mining Very-Non-Parallel Corpora: Parallel Sentence and Lexicon Extraction via Bootstrapping and E

    Pascale Fung;Percy Cheung

  • Personalizing Dialogue Agents via Meta-Learning

    Andrea Madotto;Zhaojiang Lin;Chien-sheng Wu;Pascale Ngan Fung

  • Mining Very-Non-Parallel Corpora: Parallel Sentence and Lexicon Extraction via Bootstrapping and EM

    Pascale N. Fung;Percy Chi Shun Cheung

  • The estimation of powerful language models from small and large corpora

    P. Placeway;R. Schwartz;P. Fung;L. Nguyen

  • HKUST/MTS: a very large scale mandarin telephone speech corpus

    Yi Liu;Pascale Fung;Yongsheng Yang;Christopher Cieri

  • MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

    Zhaojiang Lin;Andrea Madotto;Genta Indra Winata;Pascale Fung

  • A Pattern Matching method for finding Noun and Proper Noun Translations from Noisy Parallel Corpora

    Pascale Fung

  • Semantic Roles for SMT: A Hybrid Two-Pass Model

    Dekai Wu;Pascale Fung

Frequent Co-Authors

Dekai Wu
Dekai Wu Hong Kong University of Science and Technology
William Byrne
William Byrne University of Cambridge
Richard Schwartz
Richard Schwartz Brown University
Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Caiming Xiong
Caiming Xiong Salesforce (United States)
Tatsuya Kawahara
Tatsuya Kawahara Kyoto University
Kenneth Church
Kenneth Church Baidu (China)
Pierre Zweigenbaum
Pierre Zweigenbaum University of Paris-Saclay
Julia Hirschberg
Julia Hirschberg Columbia University

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