Papers by Yijiang Liu
End to End Chinese Lexical Fusion Recognition with Sememe Knowledge (2020.coling-main)
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| Challenge: | a new task for coreference recognition is presented in linguistics . the fusion word is always out-of-vocabulary (OOV) words in downstream paragraph-level tasks . |
| Approach: | They propose a Chinese lexical fusion recognition task which could be regarded as one kind of coreference recognition. |
| Outcome: | The proposed model is effective and competitive for the proposed task. |
HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations (2020.coling-main)
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| Challenge: | Emotion detection in conversations is to detect the emotion for each utterance in conversations that have multiple speakers. |
| Approach: | They propose a transformer-based context- and speaker-sensitive model for EDC . they utilize a low-level transformer to generate local utterance representations . |
| Outcome: | The proposed model outperforms state-of-the-art models on three benchmark datasets. |
DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis (2023.findings-acl)
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Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji
| Challenge: | a new task of conversational aspect-based sentiment analysis (DiaASQ) is designed to detect the quadruple of target-aspect-opinion-sentiment in a dialogue. |
| Approach: | They propose a task of conversational aspect-based sentiment quadruple analysis to detect the quadrangle of target-aspect-opinion-sentiment in a dialogue. |
| Outcome: | The proposed task is based on a high-quality dataset in Chinese and English . it improves the end-to-end quadruple prediction and integrates rich feature representations . |