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title: "Chinese National Conference on Computational Linguistics 2023"
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# Chinese National Conference on Computational Linguistics 2023: all accepted papers

125 papers · page 2 of 2 · the most cited first · [← Chinese National Conference on Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/ccl/2023/)

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101. **[基于语义任务辅助的方面情感分析(Semantic Task-assisted Aspect-based Sentiment Analysis) ↗](https://aclanthology.org/2023.ccl-1.25/)**Zhaozhen Wu, Hui Zhao, Tiquan Gu et al.
102. **[基于语音文本跨模态表征对齐的端到端语音翻译(End-to-end Speech Translation Based on Cross-modal Representation Alignment of Speech and Text) ↗](https://aclanthology.org/2023.ccl-1.7/)**Guojiang ang Dong, Ling Zhou, Zhengtao Yu, Shengxiang Gao et al.
103. **[基于预训练语言模型的端到端概念体系构建方法(End to End Taxonomy Construction Method with Pretrained Language Model) ↗](https://aclanthology.org/2023.ccl-1.49/)**Siyi Wang, Shizhu He, Kang Liu et al.
104. **[基座模型训练中的数据与模型架构(Data and Model Architecture in Base Model Training) ↗](https://aclanthology.org/2023.ccl-2.1/)**Hang Yan, Yang Gao, Chaoye Fei et al. · Frontier Forum
105. **[大模型与知识图谱(Large Language Models and Knowledge Graphs) ↗](https://aclanthology.org/2023.ccl-2.6/)**Yubo Chen, Shaoru Guo, Kang Liu et al. · Frontier Forum
106. **[大规模语言模型增强的中文篇章多维度阅读体验量化研究(Quantitative Research on Multi-dimensional Reading Experience of Chinese Texts Enhanced by Large Language Model) ↗](https://aclanthology.org/2023.ccl-1.32/)**Jiadai Sun, Siyi Tang, Shike Wang et al.
107. **[大语言模型对齐:概念、挑战、路线、评测及趋势(Large Language Model Alignment: Concepts, Challenges, Roadmaps, Evaluations and Trends) ↗](https://aclanthology.org/2023.ccl-2.7/)**Deyi Xiong · Frontier Forum
108. **[差比句结构及其缺省现象的识别补全研究(A Study on Identification and Completion of Comparative Sentence Structures with Ellipsis Phenomenon) ↗](https://aclanthology.org/2023.ccl-1.34/)**Pengfei Zhou, Weiguang Qu, Tingxin Wei et al.
109. **[数字人文视域下的青藏高原文旅知识图谱构建研究–––以塔尔寺为例(Research on the Construction of Cultural and Tourism Knowledge Atlas on the Qinghai-Tibet Plateau from the Perspective of Digital Humanity–––A case study of Kumbum Monastery) ↗](https://aclanthology.org/2023.ccl-1.23/)**Xinhao Li, Weina Zhao, Wanyi Zhao et al.
110. **[机器翻译和大语言模型研究进展(Research Development of Machine translation and Large Language Model) ↗](https://aclanthology.org/2023.ccl-2.3/)**Wenhao Zhu, Hao Zhou, Changjiang Gao et al. · Frontier Forum
111. **[汉语被动结构解析及其在CAMR中的应用研究(Parsing of Passive Structure in Chinese and Its Application in CAMR) ↗](https://aclanthology.org/2023.ccl-1.45/)**Kang Hu, Weiguang Qu, Tingxin Wei et al.
112. **[汉语语义构词的资源建设与计算评估(Construction of Chinese Semantic Word-Formation and its Computing Applications) ↗](https://aclanthology.org/2023.ccl-1.40/)**Yue Wang, Yang Liu, Qiliang Liang et al.
113. **[生成式信息检索前沿进展与挑战(Challenges and Advances in Generative Information Retrieval) ↗](https://aclanthology.org/2023.ccl-2.5/)**Yixing Fan, Yubao Tang, Jiangui Chen et al. · Frontier Forum
114. **[由L2到L1的跨语言激活路径研究–––基于词汇识别的ERP数据(Cross-lingual Activation Path from L2 to L1–––Based on ERP Data during Word Recognition) ↗](https://aclanthology.org/2023.ccl-1.39/)**Siqin Yang, Minghu Jiang
115. **[相似音节增强的越汉跨语言实体消歧方法(Similar syllable enhanced cross-lingual entity disambiguation for Vietnamese-Chinese) ↗](https://aclanthology.org/2023.ccl-1.19/)**Yujuan Li, Ran Song, Cunli Mao et al.
116. **[结合全局对应矩阵和相对位置信息的古汉语实体关系联合抽取(Joint Extraction of Ancient Chinese Entity Relations by Combining Global Correspondence Matrix and Relative Position Information) ↗](https://aclanthology.org/2023.ccl-1.22/)**Yiyu Hu, Jiali Zuo, Xueqiang Ceng et al.
117. **[英汉动物词的认知属性计量研究(Quantitative studies of congnitive attributes of English and Chinese animal words) ↗](https://aclanthology.org/2023.ccl-1.20/)**Ling Hua, Bin Li, Minxuan Feng et al.
118. **[融合Synonyms 词库的专利语义相似度计算研究(Patent Semantic Similarity Calculation by Fusing Synonyms Database) ↗](https://aclanthology.org/2023.ccl-1.30/)**Xinyu Tong, Jialun Liao, Yonghe Lu
119. **[融合多粒度特征的缅甸语文本图像识别方法(Burmese Language Recognition Method Fused with Multi-Granularity Features) ↗](https://aclanthology.org/2023.ccl-1.11/)**Enyu He, Rui Chen, Cunli Mao et al.
120. **[融合文本困惑度特征和相似度特征的推特机器人检测方法\ensuremath*(Twitter robot detection method based on text perplexity feature and similarity feature) ↗](https://aclanthology.org/2023.ccl-1.33/)**Zhongjie Wang, ZZhaowen Zhang, Wenqi Ding et al.
121. **[融合汉越关联关系的多语言事件观点对象识别方法(A Multilingual Event Opinion Target Recognition Method Incorporating Chinese and Vietnamese Association Relations) ↗](https://aclanthology.org/2023.ccl-1.3/)**Gege Li, Junjun Guo, Zhengtao Xu et al.
122. **[融合词典信息的古籍命名实体识别研究(A Study on the Recognition of Named Entities of Ancient Books Using Lexical Information) ↗](https://aclanthology.org/2023.ccl-1.21/)**Wenjun Kang, Jiali Zuo, Anquan Jie et al.
123. **[融合预训练模型的端到端语音命名实体识别(End-to-End Speech Named Entity Recognition with Pretrained Models) ↗](https://aclanthology.org/2023.ccl-1.16/)**Tianwei Lan, Yuhang Guo
124. **[面向机器翻译的汉英小句复合体转换生成能力调查(Investigation of the Clause Complexes Transfer and Generation Capability from Chinese to English for Machine Translation) ↗](https://aclanthology.org/2023.ccl-1.9/)**Fukun Xing, Jianing Xu
125. **[预训练语言模型中的知识分析、萃取与增强(Knowledge Analysis, Extraction and Enhancement inPre-trained Language Models) ↗](https://aclanthology.org/2023.ccl-4.1/)**Yubo Chen, Pengfei Cao, Chenhao Wang et al. · Tutorial Abstracts

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