Results 271 to 280 of about 583,468 (318)

Assessing the agreement of radiomic tools for dosiomics: A multi-software comparative study. [PDF]

Med Phys
Bettinelli A, Marturano F, Pirrone G, Gioscio E, Avanzo M, Fanizzi A, Garibaldi C, Massafra R, Menghi E, Placidi L, Rancati T, Paiusco M.   +11 more
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Microsurgical Intervention for Dens Invaginatus in an Immature Tooth: A Case Report With Long-Term Follow-Up. [PDF]

Case Rep Dent
Al-Nahlawi T, Moradipour Z, Assadian H.
europepmc   +1 more source

Difficult Implanon Extraction Resulting in Ulnar Neuropathy: Clinical Insights. [PDF]

Cureus
Jia Lik C, Chia Hua L, Arianto F, Abdullah S, Sapuan J.   +4 more
europepmc   +1 more source

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A span-based model for aspect terms extraction and aspect sentiment classification

Neural Computing and Applications, 2020
Sentiment analysis is a field of natural language processing, which is used to identify and extract opinions and attitudes from text. Aspect-based sentiment analysis aims to extract aspect terms and predict sentiment categories of the opinion aspects. It includes two subtasks: aspect terms extraction and aspect sentiment classification.
Yanxia Lv, Fangna Wei, Ying Zheng, Cong Wang, Cong Wan, Cuirong Wang   +5 more
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Prominent Aspect Term Extraction in Aspect Based Sentiment Analysis

2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), 2018
In recent years unstructured text has flooded on the web and today it is a trend to comments, give feedback, share experiences toward products, articles, social issues, multimedia web documents etc. Most of the online social, as well as, commercial platform have started to provide separate space for user reviews in the form of natural text.
Ganpat Singh Chauhan, Yogesh Kumar Meena
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Multi-task learning for aspect term extraction and aspect sentiment classification

Neurocomputing, 2020
Abstract Aspect sentiment classification has a dependency over the aspect term extraction. The majority of the existing studies tackle these two problems independently, i.e., while performing aspect sentiment classification, it is assumed that the aspect terms are pre-identified. However, such assumptions are neither practical nor appropriate.
Md Shad Akhtar, Tarun Garg, Asif Ekbal
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Unsupervised Neural Aspect Extraction with Related Terms

2020
The tasks of aspect identification and term extraction remain challenging in natural language processing. While supervised methods achieve high scores, it is hard to use them in real-world applications due to the lack of labelled datasets. Unsupervised approaches outperform these methods on several tasks, but it is still a challenge to extract both an ...
Timur Sokhin, Maria Khodorchenko, Nikolay Butakov   +2 more
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Joint aspect terms extraction and aspect categories detection via multi-task learning

Expert Systems with Applications, 2021
Abstract Aspect Terms Extraction (ATE) and Aspect Categories Detection (ACD) are two fundamental sub-tasks for aspect-based sentiment analysis. Most of the existing works mainly focus on the ATE task or the co-extraction of aspect terms and opinion words, while few attention are paid to the ACD task.
Youcai Wei, Hongyun Zhang, Jian Fang, Jiahui Wen, Jingwei Ma, Guangda Zhang   +5 more
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Syntax-Aware Representation for Aspect Term Extraction

2019
Aspect Term Extraction (ATE) plays an important role in aspect-based sentiment analysis. Syntax-based neural models that learn rich linguistic knowledge have proven their effectiveness on ATE. However, previous approaches mainly focus on modeling syntactic structure, neglecting rich interactions along dependency arcs. Besides, these methods highly rely
Jingyuan Zhang, Guangluan Xu, Xinyi Wang, Xian Sun, Tinglei Huang   +4 more
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