Results 1 to 10 of about 110,262 (250)
Aspect Term Extraction Based on MFE-CRF [PDF]
Information, 2018 This paper is focused on aspect term extraction in aspect-based sentiment analysis (ABSA), which is one of the hot spots in natural language processing (NLP).
Yanmin Xiang, Hongye He, Jin Zheng
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Aspect term extraction via information-augmented neural network
Complex & Intelligent Systems, 2022 Aspect term extraction (ATE) aims at identifying the aspect terms that are expressed in a sentence. Recently, Seq2Seq learning has been employed in ATE and significantly improved performance.
Ning Liu, Bo Shen
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ATEdrug: A reliable human-in-the-loop annotation scheme for aspect term extraction and polarity detection in drug reviews [PDF]
PLoS ONEPharmacovigilance is vital for post-market drug safety monitoring. Traditional trials inadequately capture adverse reactions. Patient-generated opinions offer valuable insights but pose challenges due to limited availability, inefficient annotation ...
Gunjan Ansari +5 more
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A multi-task learning model for Chinese-oriented aspect polarity classification and aspect term extraction [PDF]
Neurocomputing, 2021 Aspect-based sentiment analysis (ABSA) task is a multi-grained task of natural language processing and consists of two subtasks: aspect term extraction (ATE) and aspect polarity classification (APC). Most of the existing work focuses on the subtask of aspect term polarity inferring and ignores the significance of aspect term extraction.
Heng Yang, Biqing Zeng, Jianhao Yang
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Aspect term extraction based on word embedding
Труды Института системного программирования РАН, 2018 There are many sites in the Internet that allow users to share their opinions and write reviews about all kinds of goods and services. These views may be useful not only for other users, but also for companies which want to track their own reputation and
D. O. Mashkin, E. V. Kotelnikov
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Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2019 Aspect term extraction is one of the important subtasks in aspect-based sentiment analysis. Previous studies have shown that using dependency tree structure representation is promising for this task. However, most dependency tree structures involve only one directional propagation on the dependency tree.
Huaishao Luo
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Efficient aspect term extraction using spiking neural network
Neuromorphic Computing and EngineeringAspect term extraction (ATE) identifies aspect terms in review sentences, a key subtask of sentiment analysis. It is a sequence labeling task that aims to identify aspect expressions within opinionated text.
Abhishek Kumar Mishra +3 more
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BeeAE: effective aspect term extraction with artificial bee colony
Journal of Supercomputing, 2022 AbstractAspect terms are opinion targets for people to express and understand opinions in reviews. Aspect terms extraction is an essential subtask in aspect-level sentiment analysis. To extract aspect terms from a sentence, existing methods mainly focus on context features generated by pre-trained models.
Jingli Shi, Weihua Li, Quan Bai
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External-knowledge enhanced dual encoder and contrastive learning for aspect sentiment triplet extraction. [PDF]
PLoS ONEAspect Sentiment Triplet Extraction (ASTE) is an emerging subtask of Aspect-Based Sentiment Analysis (ABSA), aiming to extract aspect terms, opinion terms, and the corresponding sentiment polarity from sentences.
Yuan Huang +3 more
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Applied SciencesAspect-Based Sentiment Analysis (ABSA) is a crucial process for assessing customer feedback and gauging satisfaction with products or services. It typically consists of three stages: Aspect Term Extraction (ATE), Aspect Categorization Extraction (ACE ...
Worapoj Suwanpipob +2 more
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