Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract)One key task of fine-grained sentiment analysis on reviews is to extract aspects or features that users have expressed opinions on. Generally, fine-tuning BERT with sophisticated task-specific ...
123 Hybrid session-aware recommendation with feature-based models 697 3 Overview of the technical approach 3.1 Method overview and encoding example Many recent approaches to session-aware recommendation and to hybrid session- based recommendation propose entirely neural architectures, as discussed in Sect....
R. A novel antibacterial peptide recognition algorithm based on BERT. Briefings Bioinf.22 (6), bbab200 (2021). Article Google Scholar Li, A. et al. Phosphorylation site prediction with a modified k-nearest neighbor algorithm and BLOSUM62 matrix. Conf. Proceedings: Annual Int. Conf. IEEE ...
In this approach, the embedded method was applied in the evaluation process, at the same time a local search strategy was incorporated to balance exploration and exploitation in the search. Zhang et al. [158] designed a Pareto-based GP approach for feature extraction, with explicit consideration...
(2021), have explored the use of transformer-based models, including BERT, RoBERTa, and XLNet, for relation extraction. These models encode input sequences to capture high-order abstract semantic features. However, their application across different domains and languages poses challenges due to ...
This paper employs a semantic similarity approach to assess the utility of different feature-based similarity functions in the news domain, grounding them in human judgments of similarity. We report the results of three studies, also examining to what extent both similarity functions and human ...
首先,通过BERT获得每个单词和整个文本的表示,通过ResNet获得图像的区域和全局表示。接着将整个文本的表示和图像的全局表示馈送到跨模态对齐模块,将每个单词的表示和图像的区域表示馈送到跨模态交互模块。使用跨模态匹配模块来确定应该保留的图像信息的比例。最后,使用跨模态融合模块来融合两种模态的表示,并将它们输入到CR...
Aiming at the problem of low classification accuracy caused by limited samples in HSI classification, this study proposes a novel HSI classification framework based on Dynamic Graph-Spectral Feature Extraction (DGSFEC). The proposed method enhances the classification accuracy by integrating dynamic graph ...
Therefore, pre-trained language models based on the Transformer architecture (BERT, XLNET, GPT, etc.) have emerged. These models address long-range dependency issues through self-attention mechanisms while supporting parallel computation, which significantly enhances the training speed and ability to ...
For wrappers and embedded methods, feature selection is performed utilizing three iterative search approaches: forward, backward, and hill-climbing selection. In the first approach, variables are progressively introduced based on some selection criteria. The second approach starts with the set of all av...