Considering the spread of the intentional false news, to be aware of the new news is important. In this research, the Automatic Deep Vocabulary Grouping and Combination for News Credibility and Reliability Evaluation is proposed which includes Key Vocabularies Merging M...

Few-shot classification aims to carry out classification given only few labeled examples for the categories of interest. Though several approaches have been proposed, most existing few-shot learning (FSL) models assume that base and novel classes are drawn from the same...

Abstract The goal of this paper is to further our understanding of how novel metaphor sentences are processed at a discourse level. Previous studies have focused on contextual issues during the processing of sentences containing conventional metaphors, with the effect o...

Background Conventional prognostic scores usually require predefined clinical variables to predict outcome. The advancement of natural language processing has made it feasible to derive meaning from unstructured data. We aimed to test whether using unstructured text in...

Summary Linguistic historiography analyzes how linguistic knowledge has been acquired, stored, used and diffused. This article examines what can happen if linguists rely on copies of source data rather than the source data itself. It takes as a case study linguistic dat...

“Cultural commodity” refers to playing a positive role in the background of cultural sustainability. Nevertheless, cultural commodities have significantly different characteristics from general commodities. It faces multiple challenges regarding design and development. ...

When studying indigenous sites, especially sacred sites such as burials, the needs and wishes of the indigenous people are paramount; the site integrity must be respected, and the site must be left intact and undisturbed. Noninvasive, nondestructive geophysical imaging...

This paper introduced TOCAB, a larger dataset for Chinese abusive language detection and classification. This dataset contains 121,344 real sentences collected from a social media site. Several baseline systems built by machine learning or deep learning were proposed to...

The development of natural language models for Chinese dialogue language generation has gradually progressed to a quite high quality over the last year. However, it still requires human to evaluate the generated dialogue, that cost time and labor to test new models. The...

Emotion Recognition in Conversations (ERC) is the task of identifying the emotions of utterances from speakers in a conversation. The major challenge of ERC is how to aggregate useful contextual information from multiple utterances. Existing research in this area has ma...