Titlebook: Natural Language Processing and Chinese Computing; 13th National CCF Co Derek F. Wong,Zhongyu Wei,Muyun Yang Conference proceedings 2025 Th

Strength

Corral

Domain Adaptation for?Chinese Offensive Language Detectionkes it challenging to classify semantically Chinese offensive language using deep learning. To this end, we have studied how to transfer rich corpus knowledge from other languages to Chinese, exploring the impact of data from different cultural backgrounds on the detection of offensive language in C

賠償

清楚說(shuō)話

From Claim to?Evidence: Verifying Chinese Health Claims with?Medical Literatureal. However, identifying relevant biomedical literature as evidence for health claims is particularly challenging, especially within cross-genre and cross-lingual contexts. We propose an . information retrieval (IR) task to identify support for Chinese health claims obtained from Chinese news source

按時(shí)間順序

Part-of-Speech and?Confusion-Set Constrained Language Model for?Vietnamese Spelling Correction Corpurectly apply to Vietnamese spelling correction due to the corpus scarcity. To address this issue, we first construct a basic high-quality Vietnamese Spelling Correction (ViSC) corpus via automatic speech recognition (ASR) generation and human annotation. Then, we propose a part-of-speech and confusi

finite

Cabinet

Knowledge-Enhanced Utterance Domain Classification with?Keywords-Assisted Concept Denoising Network are often challenging to understand due to their lack of context, necessitating the enrichment of their semantic representation with supplementary information such as concepts from external knowledge bases. However, the inclusion of concepts introduces noise, making the selection of valuable concep

割公牛膨脹

Don’t Click the?Bait: Title Debiasing News Recommendation via?Cross-Field Contrastive Learningxists in news domain and increases the difficulty for news recommendation to offer satisfactory services for users. Fortunately, we find that news abstract, as a critical field of news, aligns cohesively with the news authenticity. To this end, we propose a .itle .ebiasing .ews .ecommendation with .

粗魯?shù)娜?/a>

時(shí)代錯(cuò)誤

Yuan Zhang,Minghua Nuo,Xiaoyu Jia,Yao Wangl contexts. It examines the beliefs and perceptions that shape translanguaging in different public spaces and interrogates the notion of translanguaging through the lens of various Philippine public spaces. This book also focuses on the breakthroughs that may be achieved through translanguaging in t