Aspect sentiment triplet extraction incorporating syntactic constituency parsing tree and commonsense knowledge graph

• Main Authors: HU, Zhenda, WANG, Zhaoxia, WANG, Yinglin, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Aspect sentiment triplet extraction; Syntactic constituency parsing tree; Commonsense knowledge graph; Graph convolutional network; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/7758; https://ink.library.smu.edu.sg/context/sis_research/article/8761/viewcontent/Aspect_Sentiment_Triplet_Extraction_Incorporating_Syntactic_Constituency_Parsing_Tree_and_Commonsense_Knowledge_Graph.pdf
• Institution: Singapore Management University

The aspect sentiment triplet extraction (ASTE) task aims to extract the target term and the opinion term, and simultaneously identify the sentiment polarity of target-opinion pairs from the given sentences. While syntactic constituency information and commonsense knowledge are both important and val...