|
|
|
|
|
Wang Juan
Pág. 66 - 73
AbstractThis paper, combined with the orientation of the School of Foreign Languages of Yangtze University that aims to cultivate "broad caliber, thick foundation, strong ability, high quality" talents, professional touch and employment channels for stud...
ver más
|
|
|
|
|
|
|
|
|
|
|
Héctor Andrés Melgar Sasieta, Fabiano Duarte Beppler, Roberto Carlos do Santos Pacheco (Author)
Pág. 381 - 389
This paper presents a model that aims to facilitate the visualization of the knowledge stored in digital repositories using visual archetypes. Archetypes are structures that contain visual representations of the real world that are known a priori by the ...
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
|
|
|
|
|
|
|
|
|
|
|
Fenfang Li, Zhengzhang Zhao, Li Wang and Han Deng
Sentence Boundary Disambiguation (SBD) is crucial for building datasets for tasks such as machine translation, syntactic analysis, and semantic analysis. Currently, most automatic sentence segmentation in Tibetan adopts the methods of rule-based and stat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiahao Fan and Weijun Pan
In recent years, automatic speech recognition (ASR) technology has improved significantly. However, the training process for an ASR model is complex, involving large amounts of data and a large number of algorithms. The task of training a new model for a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jawaher Alghamdi, Yuqing Lin and Suhuai Luo
The detection of fake news has emerged as a crucial area of research due to its potential impact on society. In this study, we propose a robust methodology for identifying fake news by leveraging diverse aspects of language representation and incorporati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shifeng Chen, Jialin Wang and Ketai He
The popularization of the internet and the widespread use of smartphones have led to a rapid growth in the number of social media users. While information technology has brought convenience to people, it has also given rise to cyberbullying, which has a ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Milo? Bogdanovic, Jelena Kocic and Leonid Stoimenov
Language is a unique ability of human beings. Although relatively simple for humans, the ability to understand human language is a highly complex task for machines. For a machine to learn a particular language, it must understand not only the words and r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhe Yang, Yi Huang, Yaqin Chen, Xiaoting Wu, Junlan Feng and Chao Deng
Controllable Text Generation (CTG) aims to modify the output of a Language Model (LM) to meet specific constraints. For example, in a customer service conversation, responses from the agent should ideally be soothing and address the user?s dissatisfactio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chanjun Park, Seonmin Koo, Gyeongmin Kim and Heuiseok Lim
In this study, we conduct a pioneering and comprehensive examination of ChatGPT?s (GPT-3.5 Turbo) capabilities within the realm of Korean Grammatical Error Correction (K-GEC). Given the Korean language?s agglutinative nature and its rich linguistic intri...
ver más
|
|
|
|
|
|