Harnessing holistic discourse features and triadic interaction for sentiment quadruple extraction in dialogues

Harnessing holistic discourse features and triadic interaction for sentiment quadruple extraction in dialogues

Dialogue Aspect-based Sentiment Quadruple (DiaASQ) is a newly-emergent task aiming to extract the sentiment quadruple (i.e., targets, aspects, opinions, and sentiments) from conversations. While showing promising performance, the prior DiaASQ approach unfortunately falls prey to the key crux of DiaA...

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Bibliographic Details
Main Authors: LI, Bobo, FEI, Hao, LIAO, Lizi, et al
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Feature models
Heterogeneous graph
Performance
Artificial Intelligence and Robotics
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/9640
https://ink.library.smu.edu.sg/context/sis_research/article/10640/viewcontent/Harnessing_Holistic_Discourse_Features_and_Triadic_Interaction_for_Sentiment_Quadruple_Extraction_in_Dialogues.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9640
https://ink.library.smu.edu.sg/context/sis_research/article/10640/viewcontent/Harnessing_Holistic_Discourse_Features_and_Triadic_Interaction_for_Sentiment_Quadruple_Extraction_in_Dialogues.pdf

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