Among these, the BERT model, renowned for its bidirectional encoder architecture, excels in contextual understanding and semantic representation. Nevertheless, it faces challenges in capturing long-range word d
The proposed model was trained on a Vietnamese dataset, named ISE-DSC01, and demonstrated superior performance compared to the baseline model across all three metrics. Notably, we achieved a Strict Accuracy level of 75.11%, indicating a remarkable 28.83% improvement over the baseline model.Tran,...
This paper presents the development of a comprehensive part-of-speech (POS) annotated corpus for the low-resource Pashto language, along with a deep learning model for automatic POS tagging. The corpus comprises approximately 700K words (30K sentences), labeled for word boundaries, considering ...
目标:用encoder-decoder的方式重构mask的部分 UniLM(UNIfied pre-trainedLanguageModel) Unified Language Model Pre-training for Natural Language Understanding and Generation (Dong et al., NeurIP2019) MASS进化版,采用三种语言模型作为训练目标,统一了自然语言理解任务和自然语言生成,不同的语言模型对应下游不同的任...
as is the need for explainable solutions that can reduce its presence in social media. Thus, the goal of the paper is to contribute to this effort by exploring a surrogate-type approach to explainability, in conjunction with the supervised BERT-based model tuned for fake news detection in a ...
This generated our BERT-based model trained using 1.5 million electronic health record notes (EhrBERT). We then further fine-tuned EhrBERT, BioBERT, and BERT on three annotated corpora for biomedical and clinical entity normalization: the Medication, Indication, and Adverse Drug Events (MADE) 1.0...
BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment 作者:Xiaobin, Tang; Jing, Zhang; Bo, Chen; Yang; Hong, Chen; Cuiping, Li 来源:Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {...
[CLS]放在句子开始前,[SEP]是句对任务中两个句子的分隔符。每个WordPiece token输入被表示为三个向量,token/ segment/ position embedding,相加进入model主体。 每个transformer层堆叠很多编码器单元,每个编码器包含两个主要子单元:self-attention和前向反馈网络FFN,通过残差连接。每个self-attention包含全连接层、多头mult...
Also, since the amount of data available for NLP tasks in Persian is very restricted, a massive dataset for different NLP tasks as well as pre-training the model is composed. ParsBERT obtains higher scores in all datasets, including existing ones and gathered ones, and improves the state-of...
RoBERTa: a pre-trained language model builds upon BERT [3] by addressing its limitations with dynamic masking, removing the potentially harmful NSP objective, and using a full-sentence representation. Voting Scheme:Our motivation for applying an ensemble approach is to take advantage of the performan...