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Donghong Ji

Donghong Ji

D-Index & Metrics

Computer Science

D-Index
32
Citations
4333
World Ranking
13182
National Ranking
1611

Overview

Donghong Ji is affiliated with Wuhan University in China and has made extensive contributions to the field of computer science, with a focus on artificial intelligence and related subfields.

The scientist's work spans several main topics, including:

  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Text and Document Classification Technologies
  • Text Readability and Simplification
  • Speech and dialogue systems

Donghong Ji's research is concentrated primarily within computer science, with significant publications in artificial intelligence. Other subfields covered by their work include computer vision and pattern recognition, sociology and political science, information systems, and experimental and cognitive psychology.

Key recent publications include:

  • "Latent Emotion Memory for Multi-Label Emotion Classification," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training," 2022, ACM Transactions on Information Systems
  • "Topic-Enhanced Capsule Network for Multi-Label Emotion Classification," 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Emoji-Based Sentiment Analysis Using Attention Networks," 2020, ACM Transactions on Asian and Low-Resource Language Information Processing

They have published extensively in the following venues:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Asian and Low-Resource Language Information Processing
  • Neurocomputing

Frequent collaborators include Hao Fei, Fei Li, Bobo Li, Chong Teng, and Yafeng Ren, with coauthorship counts ranging from 17 to 37 publications.

Best Publications

  • The CHEMDNER corpus of chemicals and drugs and its annotation principles.

    Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

  • Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification.

    Hao Tang;Donghong Ji;Chenliang Li;Qiji Zhou

  • Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information

    GuoDong Zhou;Min Zhang;DongHong Ji;QiaoMing Zhu

  • A neural joint model for entity and relation extraction from biomedical text

    Fei Li;Meishan Zhang;Guohong Fu;Donghong Ji

  • Neural networks for deceptive opinion spam detection

    Yafeng Ren;Donghong Ji

  • Context-sensitive Twitter sentiment classification using neural network

    Yafeng Ren;Yue Zhang;Meishan Zhang;Donghong Ji

  • A topic-enhanced word embedding for Twitter sentiment classification

    Yafeng Ren;Ruimin Wang;Donghong Ji

  • Relation Extraction Using Label Propagation Based Semi-Supervised Learning

    Jinxiu Chen;Donghong Ji;Chew Lim Tan;Zhengyu Niu

  • Word Sense Disambiguation Using Label Propagation Based Semi-Supervised Learning

    Zheng-Yu Niu;Dong-Hong Ji;Chew Lim Tan

  • Long short-term memory RNN for biomedical named entity recognition

    Chen Lyu;Bo Chen;Yafeng Ren;Donghong Ji

  • Latent Emotion Memory for Multi-Label Emotion Classification

    Hao Fei;Yue Zhang;Yafeng Ren;Donghong Ji

  • Boundaries and edges rethinking: An end-to-end neural model for overlapping entity relation extraction

    Hao Fei;Yafeng Ren;Donghong Ji

  • Enriching contextualized language model from knowledge graph for biomedical information extraction.

    Hao Fei;Yafeng Ren;Yue Zhang;Donghong Ji

  • Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge

    Shengqiong Wu;Hao Fei;Yafeng Ren;Donghong Ji

  • Positive Unlabeled Learning for Deceptive Reviews Detection

    yafeng ren;donghong ji;hongbin zhang

  • Unsupervised Feature Selection for Relation Extraction

    Jinxiu Chen;Donghong Ji;Chew Lim Tan;Zhengyu Niu

  • Towards Twitter sentiment classification by multi-level sentiment-enriched word embeddings

    Shufeng Xiong;Hailian Lv;Weiting Zhao;Donghong Ji

  • Improving Twitter sentiment classification using topic-enriched multi-prototype word embeddings

    Yafeng Ren;Yue Zhang;Meishan Zhang;Donghong Ji

  • On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training

    Unknown

  • A short text sentiment-topic model for product reviews

    Shufeng Xiong;Shufeng Xiong;Kuiyi Wang;Donghong Ji;Bingkun Wang

  • Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus

    Hao Fei;Meishan Zhang;Donghong Ji

  • Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax

    Hao Fei;Fei Li;Bobo Li;Donghong Ji

  • Learning to Detect Deceptive Opinion Spam: A Survey

    Unknown

  • Overview of the NTCIR-7 ACLIA Tasks: Advanced Cross-Lingual Information Access

    Teruko Mitamura;Eric Nyberg;Hideki Shima;Tsuneaki Kato

  • HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations

    Jingye Li;Donghong Ji;Fei Li;Meishan Zhang

  • Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling

    Unknown

Frequent Co-Authors

Yue Zhang
Yue Zhang Westlake University
Chew Lim Tan
Chew Lim Tan National University of Singapore
Guodong Zhou
Guodong Zhou Soochow University
Min Zhang
Min Zhang Tsinghua University
Wenjie Li
Wenjie Li Hong Kong Polytechnic University
Teruko Mitamura
Teruko Mitamura Carnegie Mellon University
Tetsuya Sakai
Tetsuya Sakai Waseda University
Hong Yu
Hong Yu University of Massachusetts Lowell
Eric Nyberg
Eric Nyberg Carnegie Mellon University
Tim Rocktäschel
Tim Rocktäschel University College London

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