|
|
|
|
|
Rongsheng Li, Jin Xu, Zhixiong Cao, Hai-Tao Zheng and Hong-Gee Kim
In the realm of large language models (LLMs), extending the context window for long text processing is crucial for enhancing performance. This paper introduces SBA-RoPE (Segmented Base Adjustment for Rotary Position Embeddings), a novel approach designed...
ver más
|
|
|
|
|
|
|
|
|
|
|
Santosh Kumar Banbhrani, Bo Xu, Haifeng Liu and Hongfei Lin
Hashtags are considered important in various real-world applications, including tweet mining, query expansion, and sentiment analysis. Hence, recommending hashtags from tagged tweets has been considered significant by the research community. However, whi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yue Li, Xutao Wang and Pengjian Xu
Text classification is of importance in natural language processing, as the massive text information containing huge amounts of value needs to be classified into different categories for further use. In order to better classify text, our paper tries to b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yue Li, Xutao Wang and Pengjian Xu
Text classification is of importance in natural language processing, as the massive text information containing huge amounts of value needs to be classified into different categories for further use. In order to better classify text, our paper tries to b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shiqian Guo, Yansun Huang, Baohua Huang, Linda Yang and Cong Zhou
This paper proposed a method for improving the XLNet model to address the shortcomings of segmentation algorithm for processing Chinese language, such as long sub-word lengths, long word lists and incomplete word list coverage. To address these issues, w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Che-Wen Chen, Shih-Pang Tseng, Ta-Wen Kuan and Jhing-Fa Wang
In general, patients who are unwell do not know with which outpatient department they should register, and can only get advice after they are diagnosed by a family doctor. This may cause a waste of time and medical resources. In this paper, we propose an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Raziyan Dwi Pathan
Abstract?PT Sarana Sulteng Ventura is one company that aims to provide loan capital is micro, small, and medium enterprises (UMKM) as a venture partner timed short or long to be able to stand on its own with loan capital that fits with the kin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdelfatah Ahmed, Mohamed Bader, Ismail Shahin, Ali Bou Nassif, Naoufel Werghi and Mohammad Basel
The Arabic language has always been an immense source of attraction to various people from different ethnicities by virtue of the significant linguistic legacy that it possesses. Consequently, a multitude of people from all over the world are yearning to...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yaser Altameemi and Mohammed Altamimi
Using advanced algorithms to conduct a thematic analysis reduces the time taken and increases the efficiency of the analysis. Long short-term memory (LSTM) is effective in the field of text classification and natural language processing (NLP). In this st...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenjing Yuan, Lin Yang, Qing Yang, Yehua Sheng and Ziyang Wang
Archaeological site text is the main carrier of archaeological data at present, which contains rich information. How to efficiently extract useful knowledge from the massive unstructured archaeological site texts is of great significance for the mining a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ke Zhao, Lan Huang, Rui Song, Qiang Shen and Hao Xu
Short text classification is an important problem of natural language processing (NLP), and graph neural networks (GNNs) have been successfully used to solve different NLP problems. However, few studies employ GNN for short text classification, and most ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Asma Baccouche, Sadaf Ahmed, Daniel Sierra-Sosa and Adel Elmaghraby
Identifying internet spam has been a challenging problem for decades. Several solutions have succeeded to detect spam comments in social media or fraudulent emails. However, an adequate strategy for filtering messages is difficult to achieve, as these me...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed N. A. Ali, Guanzheng Tan and Aamir Hussain
Recurrent neural network (RNN) has achieved remarkable success in sequence labeling tasks with memory requirement. RNN can remember previous information of a sequence and can thus be used to solve natural language processing (NLP) tasks. Named entity rec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed N. A. Ali, Guanzheng Tan and Aamir Hussain
Recurrent neural network (RNN) has achieved remarkable success in sequence labeling tasks with memory requirement. RNN can remember previous information of a sequence and can thus be used to solve natural language processing (NLP) tasks. Named entity rec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daqian Wei, Bo Wang, Gang Lin, Dichen Liu, Zhaoyang Dong, Hesen Liu and Yilu Liu
This paper documents the condition-based maintenance (CBM) of power transformers, the analysis of which relies on two basic data groups: structured (e.g., numeric and categorical) and unstructured (e.g., natural language text narratives) which accounts f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingren Zhang, Fang?ai Liu, Weizhi Xu and Hui Yu
Convolutional neural networks (CNN) and long short-term memory (LSTM) have gained wide recognition in the field of natural language processing. However, due to the pre- and post-dependence of natural language structure, relying solely on CNN to implement...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiaming Li, Ning Xie and Tingting Zhao
In recent years, with the rapid advancements in Natural Language Processing (NLP) technologies, large models have become widespread. Traditional reinforcement learning algorithms have also started experimenting with language models to optimize training. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alvaro A. Teran-Quezada, Victor Lopez-Cabrera, Jose Carlos Rangel and Javier E. Sanchez-Galan
Convolutional neural networks (CNN) have provided great advances for the task of sign language recognition (SLR). However, recurrent neural networks (RNN) in the form of long?short-term memory (LSTM) have become a means for providing solutions to problem...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lucas Lopes Oliveira, Xiaorui Jiang, Aryalakshmi Nellippillipathil Babu, Poonam Karajagi and Alireza Daneshkhah
Early identification of acute gout is crucial, enabling healthcare professionals to implement targeted interventions for rapid pain relief and preventing disease progression, ensuring improved long-term joint function. In this study, we comprehensively e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yibo Liu, Qingyun Zuo, Xu Wang and Teng Zong
Entity relation extraction mainly extracts relations from text, which is one of the important tasks of natural language processing. At present, some special fields have insufficient data; for example, agriculture, the metallurgical industry, etc. There i...
ver más
|
|
|
|
|
|