IDCN: A Novel Interactive Dual Channel Network for Aspect Sentiment Triplet Extraction
IEEE Access, 2022 Aspect sentiment triplet extraction (ASTE) is one of the important subtasks of aspect-based sentiment analysis, it aims at detecting the aspect terms, opinion terms, and the corresponding sentiment polarity, simultaneously.
Ning Liu +4 more
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Explicit Interaction Network for Aspect Sentiment Triplet Extraction
, 2021 Aspect Sentiment Triplet Extraction (ASTE) aims to recognize targets, their sentiment polarities and opinions explaining the sentiment from a sentence. ASTE could be naturally divided into 3 atom subtasks, namely target detection, opinion detection and sentiment classification.
Wang, Peiyi +5 more
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Aspect Sentiment Triplet Extraction Based on Linguistic Feature Enhancement [PDF]
Jisuanji gongchengAspect sentiment triplet extraction is an important subtask in aspect-level sentiment analysis aimed at extracting aspect words, opinion words, and sentiment polarity from sentences.
HUANG Zipeng, ZENG Biqing, CHEN Pengfei, ZHOU Siying
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Bidirectional Cascade Network for Aspect Sentiment Triplet Extraction [PDF]
Jisuanji gongchengAspect Sentiment Triplet Extraction(ASTE) is a subtask of aspect-based sentiment analysis. The goal is to extract all mentioned aspects, their corresponding opinions, and the sentiment polarity expressed, forming triplets from a given text sequence.
ZHENG Ayong, GU Xingsheng
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Affective Commonsense Knowledge Enhanced Dependency Graph for aspect sentiment triplet extraction
The Journal of Supercomputing, 2023 Abstract Most existing aspect sentiment triplet extraction models emphasize the adoption of novel tagging scheme to jointly extract three elements of sentiment triplets, but they overlook the intrinsic information of individual words, including the implicit relationships between words, which results in the inaccurate triplet extraction. In this
Xiaowen Sun +4 more
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Aspect Sentiment Triplet Extraction Combining Chain-of-Thought and Low-Rank Adaptation Fine-Tuning [PDF]
Jisuanji gongchengThe Aspect Sentiment Triplet Extraction (ASTE) task is an important subtask of aspect-level sentiment analysis. Conventional supervised learning methods achieve SOTA or near-SOTA results in this task.
Biqing ZENG, Pengfei CHEN, Yongtao YAO
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A multi-round MRC framework incorporating prompt learning for aspect sentiment triple extraction [PDF]
PeerJ Computer ScienceAspect-based sentiment triplet extraction (ASTE) task is a burgeoning subtask of aspect-based sentiment analysis (ABSA), which involves extracting aspect terms, opinion expressions, and related sentiment polarities from texts.
Zhang Yuyao +3 more
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Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
, 2019 Target-based sentiment analysis or aspect-based sentiment analysis (ABSA) refers to addressing various sentiment analysis tasks at a fine-grained level, which includes but is not limited to aspect extraction, aspect sentiment classification, and opinion ...
Bing, Lidong +5 more
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Multilingual Opinion Factor Extraction Fusing Aspect Semantics and Grid Tagging [PDF]
Jisuanji kexueAspect-oriented fine-grained opinion extraction(AFOE) aims to extract the aspect and opinion terms in the reviews in the form of opinion pairs or to extract the sentiment polarity to form opinion triplets.Previous studies usually extract opinion factors ...
GU Wenxia, ZAOKERE Kadeer, YANG Qian, AISHAN Wumaier
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, 2017 Syntactic parsing, the process of obtaining the internal structure of sentences in natural languages, is a crucial task for artificial intelligence applications that need to extract meaning from natural language text or speech.
Alonso-Alonso, Iago +2 more
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