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Chinese National Conference on Computational Linguistics 2023: all accepted papers

125 papers · page 1 of 2 · the most cited first · ← Chinese National Conference on Computational Linguistics 2023

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  1. A Distantly-Supervised Relation Extraction Method Based on Selective Gate and Noise Correction ↗Zhuowei Chen, Yujia Tian, Lianxi Wang et al.
  2. A Systematic Evaluation of Large Language Models for Natural Language Generation Tasks ↗Xuanfan Ni, Piji Li · Frontier Forum
  3. Adder Encoder for Pre-trained Language Model ↗Jianbang Ding, Suiyun Zhang, Linlin Li
  4. Adversarial Network with External Knowledge for Zero-Shot Stance DetectionChunling Wang, Yijia Zhang, Xingyu Yu et al.our summary
  5. Ask to Understand: Question Generation for Multi-hop Question Answering ↗Jiawei Li, Mucheng Ren, Yang Gao et al.
  6. CCL23-Eval 任务1系统报告:基于信息论约束及篇章信息的古籍命名实体识别(System Report for CCL23-Eval Task 1: Information Theory Constraint and Paragraph based Paragraph Classical Named Entity Recognition) ↗Xinghua Zhang, Tianyun Liu, Wenyuan Zhang et al. · Evaluations
  7. CCL23-Eval 任务1系统报告:基于增量预训练与对抗学习的古籍命名实体识别(System Report for CCL23-Eval Task 1:::GuNER Based on Incremental Pretraining and Adversarial Learning) ↗Jianlong Li, Youren Yu, Xueyang Liu et al. · Evaluations
  8. CCL23-Eval 任务1系统报告:基于持续预训练方法与上下文增强策略的古籍命名实体识别(System Report for CCL23-Eval Task 1:Named Entity Recognition for Ancient Books based on Continual Pre-training Method and Context Augmentation Strategy) ↗Shiquan Wang, Lingling Shi, Luwen Pu et al. · Evaluations
  9. CCL23-Eval 任务2系统报告:WestlakeNLP,基于生成式大语言模型的中文抽象语义表示解析(System Report for CCL23-Eval Task 2: WestlakeNLP, Investigating Generative Large Language Models for Chinese AMR Parsing) ↗Wenyang Gao, Xuefeng Bai, Yue Zhang · Evaluations
  10. CCL23-Eval 任务2系统报告:基于图融合的自回归和非自回归中文AMR语义分析(System Report for CCL23-Eval Task 2: Autoregressive and Non-autoregressive Chinese AMR Semantic Parsing based on Graph Ensembling) ↗Yanggan Gu, Shilin Zhou, Zhenghua Li · Evaluations
  11. CCL23-Eval 任务2系统报告：基于大型语言模型的中文抽象语义表示解析(System Report for CCL23-Eval Task 2: Chinese Abstract Meaning Representation Parsing based on Large Language Models) ↗Yifei Yang, Ziming Cheng, Hai Zhao · Evaluations
  12. CCL23-Eval 任务3总结报告:汉语框架语义解析评测(Overview of CCL23-Eval Task 1:Chinese FrameNet Semantic Parsing) ↗Juncai Li, Zhichao Yan, Xuefeng Su et al. · Evaluations
  13. CCL23-Eval 任务3系统报告:基于多任务pipeline策略的汉语框架语义解析(System Report for CCL23-Eval Task 3: Chinese Frame Semantic Parsing Based on Multi task Pipeline Strategy) ↗Shutan Huang, Qiuyan Shao, Wei Li · Evaluations
  14. CCL23-Eval 任务3系统报告:基于旋转式位置编码的实体分类在汉语框架语义解析中的应用(System Report for CCL23-Eval Task 3: Application of Entity Classification Model Based on Rotary Position Embedding in Chiness Frame Semantic Parsing) ↗Zuoheng Li, Xuanzhi Guo, Dengjian Qiao et al. · Evaluations
  15. CCL23-Eval 任务3系统报告:苏州大学CFSP系统(System Report for CCL23-Eval Task3: SUDA CFSP System) ↗Yahui Liu, Zhenghua Li, Min Zhang · Evaluations
  16. CCL23-Eval 任务5总结报告:跨领域句子级别中文省略消解(Overview of CCL23-Eval Task 5: Sentence Level Multi-domain Chinese Ellipsis Resolution) ↗Wei Li, Qiuyan Shao, Jialu Qi · Evaluations
  17. CCL23-Eval 任务6总结报告:电信网络诈骗案件分类(Overview of CCL23-Eval Task 6: Telecom Network Fraud Case Classification) ↗Chengjie Sun, Jie Ji, Boyue Shang et al. · Evaluations
  18. CCL23-Eval 任务6系统报告:基于CLS动态加权平均和数据增强的电信网络诈骗案件分类(System Report for CCL23-Eval Task 6:::Classification of Telecom Internet Fraud Cases Based on CLS Dynamic Weighted Average and Data Augement) ↗Tianyun Liu, Xinghua Zhang, Mengxiao Song et al. · Evaluations
  19. CCL23-Eval 任务6系统报告:基于深度学习的电信网络诈骗案件分类(System Report for CCL23-Eval Task 6: Classification of Telecom Internet Fraud Cases Based on Deep Learning) ↗Chenyang Li, Long Zhang, Zhongjie Zhao et al. · Evaluations
  20. CCL23-Eval 任务6系统报告:基于预训练语言模型的双策略分类优化算法(System Report for CCL23-Eval Task 6:Double-strategy classification optimization algorithm based on pre-training language model) ↗Yongqing Huang, Hailong Yang, Fu Xuelin · Evaluations
  21. CCL23-Eval 任务6系统报告:面向电信网络诈骗案件分类的优化策略(CCL23-Eval Task 6 System Report: Research on Optimization Strategies for Telecom Internet fraud Case Classification) ↗Junhui Yu, Zhi Li · Evaluations
  22. CCL23-Eval 任务7总结报告: 汉语学习者文本纠错(Overview of CCL23-Eval Task: Chinese Learner Text Correction) ↗Hongxiang Chang, Yang Liu, Meng Xu et al. · Evaluations
  23. CCL23-Eval 任务7系统报告:基于序列标注和指针生成网络的语法纠错方法(System Report for CCL23-Eval Task 7:A Syntactic Error Correction Approach Based on Sequence Labeling and Pointer Generation Networks) ↗Youren Yu, Yangsen Zhang, Guanguang Chang et al. · Evaluations
  24. CCL23-Eval 任务7赛道一系统报告:基于序列到序列模型的自动化文本纠错系统(System Report for CCL23-Eval Task 7 Track 1: Automated text error correction pipeline based on sequence-to-sequence models) ↗Shixuan Liu, Xinzhang Liu, Yuyao Huang et al. · Evaluations
  25. CCL23-Eval 任务9总结报告:汉语高考阅读理解对抗鲁棒评测 (Overview of CCL23-Eval Task 9: Adversarial Robustness Evaluation for Chinese Gaokao Reading Comprehension) ↗Yaxin Guo, Guohang Yan, Hongye Tan et al. · Evaluations
  26. CCL23-Eval 任务9系统报告:基于重叠片段生成增强阅读理解模型鲁棒性的方法(System Report for CCL23-Eval Task 9: Improving MRC Robustness with Overlapping Segments Generation for GCRC_advRobust) ↗Suzhe He, Chongsheng Yang, Shumin Shi · Evaluations
  27. CCL23-Eval任务1总结报告:古籍命名实体识别(GuNER2023)(Overview of CCL23-Eval Task 1: Named Entity Recognition in Ancient Chinese Books) ↗Qi Su, Yingying Wang, Zekun Deng et al. · Evaluations
  28. CCL23-Eval任务4总结报告:第三届中文空间语义理解评测(Overview of CCL23-Eval Task 4:The 3rd Chinese Spatial Cognition Evaluation) ↗Liming Xiao, Weidong Zhan, Zhifang Sui et al. · Evaluations
  29. CCL23-Eval任务4系统报告:基于深度学习的空间语义理解(System Report for CCL23-Eval Task4:Spatial Semantic Understanding Based on Deep Learning.) ↗ChenKun Tan, XianNian Hu, XinPeng Qiu · Evaluations
  30. CCL23-Eval任务6系统报告:基于原型监督对比学习和模型融合的电信网络诈骗案件分类(System Report for CCL23-Eval Task 6: Classification of Telecom Network Fraud Cases Based on Prototypical Supervised Contrastive Learning and Model Fusion) ↗Site Xiong, Jili Zhang, Yu Zhao et al. · Evaluations
  31. CCL23-Eval任务7赛道一系统报告:Suda &Alibaba 文本纠错系统(CCL23-Eval Task 7 Track 1 System Report: Suda &Alibaba Team Text Error Correction System) ↗Haochen Jiang, Yumeng Liu, Houquan Zhou et al. · Evaluations
  32. CHED: A Cross-Historical Dataset with a Logical Event Schema for Classical Chinese Event Detection ↗Congcong Wei, Zhenbing Feng, Shutan Huang et al.
  33. Case Retrieval for Legal Judgment Prediction in Legal Artificial Intelligence ↗Han Zhang, Zhicheng Dou
  34. Document Information Extraction via Global Tagging ↗Shaojie He, Tianshu Wang, Yaojie Lu et al.
  35. Dynamic-FACT: A Dynamic Framework for Adaptive Context-Aware Translation ↗Linqing Chen, Weilei Wang
  36. Enhancing Implicit Sentiment Learning via the Incorporation of Part-of-Speech for Aspect-based Sentiment Analysis ↗Junlang Wang, Xia Li, Junyi He et al.
  37. Enhancing Ontology Knowledge for Domain-Specific Joint Entity and Relation Extraction ↗Xiong Xiong, Chen Wang, Yunfei Liu et al.
  38. Exploring Accurate and Generic Simile Knowledge from Pre-trained Language Models ↗Shuhan Zhou, Longxuan Ma, Yanqiu Shao
  39. FinBART: A Pre-trained Seq2seq Language Model for Chinese Financial Tasks ↗Hongyuan Dong, Wanxiang Che, Xiaoyu He et al.
  40. Foundation Models for Robotics: Best Known Practices ↗Shaocong Xu, Hao Zhao · Tutorial Abstracts
  41. Frontier Review of Multimodal AI ↗Nan Duan · Frontier Forum
  42. Improving Affective Event Classification with Multi-Perspective Knowledge Injection ↗Wenjia Yi, Yanyan Zhao, Jianhua Yuan et al.
  43. Improving Cascade Decoding with Syntax-aware Aggregator and Contrastive Learning for Event Extraction ↗Zeyu Sheng, Yuanyuan Liang, Yunshi Lan
  44. Improving Zero-shot Cross-lingual Dialogue State Tracking via Contrastive Learning ↗Yu Xiang, Ting Zhang, Hui Di et al.
  45. Learnable Conjunction Enhanced Model for Chinese Sentiment Analysis ↗Bingfei Zhao, Hongying Zan, Jiajia Wang et al.
  46. Learning on Structured Documents for Conditional Question Answering ↗Zihan Wang, Hongjin Qian, Zhicheng Dou
  47. Lexical Complexity Controlled Sentence Generation for Language Learning ↗Jinran Nie, Liner Yang, Yun Chen et al.
  48. MCLS: A Large-Scale Multimodal Cross-Lingual Summarization Dataset ↗Xiaorui Shi
  49. Overcoming Language Priors with Counterfactual Inference for Visual Question Answering ↗Zhibo Ren, Huizhen Wang, Muhua Zhu et al.
  50. Overview of CCL23-Eval Task 2: The Third Chinese Abstract Meaning Representation Parsing Evaluation ↗Zhixing Xu, Yixuan Zhang, Bin Li et al. · Evaluations
  51. Overview of CCL23-Eval Task 8: Chinese Essay Fluency Evaluation (CEFE) Task ↗Xinshu Shen, Hongyi Wu, Xiaopeng Bai et al. · Evaluations
  52. P-MNER: Cross Modal Correction Fusion Network with Prompt Learning for Multimodal Named Entity Recognitiong ↗Zhuang Wang, Yijia Zhang, Kang An et al.
  53. Rethinking Label Smoothing on Multi-hop Question Answering ↗Zhangyue Yin, Yuxin Wang, Xiannian Hu et al.
  54. Revisiting k-NN for Fine-tuning Pre-trained Language Models ↗Lei Li, Jing Chen, Botzhong Tian et al.
  55. Safety and Ethical Concerns of Large Language Models ↗Zhiheng Xi, Rui Zheng, Tao Gui · Tutorial Abstracts
  56. Self Question-answering: Aspect Sentiment Triplet Extraction via a Multi-MRC Framework based on Rethink Mechanism ↗Fuyao Zhang, Yijia Zhang, Mengyi Wang et al.
  57. SentBench: Comprehensive Evaluation of Self-Supervised Sentence Representation with Benchmark Construction ↗Xiaoming Liu, Hongyu Lin, Xianpei Han et al.
  58. SpaCE2022中文空间语义理解评测任务数据集分析报告(A Quality Assessment Report of the Chinese Spatial Cognition Evaluation Benchmark) ↗Liming Xiao, Chunhui Sun, Weidong Zhan et al.
  59. Studying Language Processing in the Human Brain with Speech and Language Models ↗Chao Zhang, Andrew Thwaites, Cai Wingfield · Tutorial Abstracts
  60. System Report for CCL23-Eval Task 3: UIR-ISC Pre-trained Language Medel for Chinese Frame Semantic Parsing ↗Yingxuan Guan, Xunyuan Liu, Lu Zhang et al. · Evaluations
  61. System Report for CCL23-Eval Task 6: A Method For Telecom Network Fraud Case Classification Based on Two-stage Training Framework and Within-task Pretraining ↗Guangyu Zheng, Tingting He, Zhenyu Wang et al. · Evaluations
  62. System Report for CCL23-Eval Task 7: Chinese Grammatical Error Diagnosis Based on Model Fusion ↗Yanmei Ma, Laiqi Wang, Zhenghua Chen et al. · Evaluations
  63. System Report for CCL23-Eval Task 7: THU KELab (sz) - Exploring Data Augmentation and Denoising for Chinese Grammatical Error Correction ↗Jingheng Ye, Yinghui Li, Haitao Zheng · Evaluations
  64. System Report for CCL23-Eval Task 8: Chinese Grammar Error Detection and Correction Using Multi-Granularity Information ↗Yixuan Wang, Yijun Liu, Bo Sun et al. · Evaluations
  65. System Report for CCL23-Eval Task 9: HUST1037 Explore Proper Prompt Strategy for LLM in MRC Task ↗Xiao Liu, Junfeng Yu, Yibo He et al. · Evaluations
  66. TERL: Transformer Enhanced Reinforcement Learning for Relation Extraction ↗Yashen Wang, Tuo Shi, Xiaoye Ouyang et al.
  67. The Contextualized Representation of Collocation ↗Daohuan Liu, Xuri Tang
  68. Through the Lens of Core Competency: Survey on Evaluation of Large Language Models ↗Ziyu Zhuang, Qiguang Chen, Longxuan Ma et al. · Frontier Forum
  69. TiKEM:基于知识增强的藏文预训练语言模型(TiKEM: Knowledge Enhanced Tibetan Pre-trained Language Model) ↗Junjie Deng, Long Chen, Yan Zhang et al.
  70. TiKG-30K:基于表示学习的藏语知识图谱数据集(TiKG-30K: A Tibetan Knowledge Graph Dataset Based on Representation Learning) ↗Wenhao Zhuang, Ge Gao, Yuan Sun
  71. Training NLI Models Through Universal Adversarial Attack ↗Jieyu Lin, Wei Liu, Jiajie Zou et al.
  72. Unleashing the Power of Large Models: Exploring Human-Machine Conversations ↗Yuhan Liu, Xiuying Chen, Rui Yan · Frontier Forum
  73. Unsupervised Style Transfer in News Headlines via Discrete Style Space ↗Qianhui Liu, Yang Gao, Yizhe Yang
  74. 中医临床切诊信息抽取与词法分析语料构建及联合建模方法(On Corpus Construction and Joint Modeling for Clinical Pulse Feeling and Palpation Information Extraction and Lexical Analysis of Traditional Chinese Medicine) ↗Yaqiang Wang, Wen Jiang, Yongguang Jiang et al.
  75. 中国社会道德变化模型与发展动因探究–––基于70年《人民日报》的计量与分析 (The Model of Moral Change and Motivation in Chinese Society –––The Vocabulary Analysis of the 70-year “People's Daily”) ↗Hongrui Wang, Dong Yu, Pengyuan Liu et al.
  76. 人工智能生成语言与人类语言对比研究–––以ChatGPT为例(A Comparative Study of Language between Artificial Intelligence and Human: A Case Study of ChatGPT) ↗Junhui Zhu, Mengyan Wang, Erhong Yang et al.
  77. 动词视角下的汉语性别表征研究–––基于多语体语料库与依存分析(Gendered Representation in Chinese via Verbal Analysis –-Based on a Multi-register Corpus and Dependency Parsing) ↗Yingshi Chen, Dong Yu, Pengyuan Liu
  78. 古汉语通假字资源库的构建及应用研究(The Construction and Application of an Ancient Chinese Language Resource on Tongjiazi) ↗Zhaoji Wang, Shirui Zhang, Xuetao Zhang et al.
  79. 噪声鲁棒的蒙古语语音数据增广模型结构(Noise robust Mongolian speech data augmentation model structure) ↗Zhiqaing Ma, Jiaqi Sun, Jinyi Li et al.
  80. 基于BiLSTM聚合模型的汉语框架语义角色识别(Chinese Frame Semantic Role Identification Based on BiLSTM Aggregation Model) ↗Xuefei Cao, Hongji Li, Ruibo Wang et al.
  81. 基于FLAT的农业病虫害命名实体识别(Named Entity Recognition of Agricultural Pests and Diseases based on FLAT) ↗Yi Ren, Jie Shen, Shuai Yuan
  82. 基于RoBERTa的中文仇恨言论侦测方法研究(Chinese Hate Speech detection method Based on RoBERTa-WWM) ↗Xiaojun Rao, Yangsen Zhang, Qilong Jia et al.
  83. 基于不完全标注的自监督多标签文本分类(Self-Training With Incomplete Labeling For Multi-Label Text Classification) ↗Junfei Ren, Tong Zhu, Wenliang Chen
  84. 基于互信息最大化和对比损失的多模态对话情绪识别模型(Multimodal Emotion Recognition in Conversation with Mutual Information Maximization and Contrastive Loss) ↗Qianer Li, Peijie Huang, Jiawei Chen et al.
  85. 基于动态常识推理与多维语义特征的幽默识别(Humor Recognition based on Dynamically Commonsense Reasoning and Multi-Dimensional Semantic Features) ↗Tuerxun Tunike, Hongfei Lin, Dongyu Zhang et al.
  86. 基于句法特征的事件要素抽取方法(Syntax-aware Event Argument Extraction ) ↗Zijian Yu, Tong Zhu, Wenliang Chen
  87. 基于多任务多模态交互学习的情感分类方法(Sentiment classification method based on multitasking and multimodal interactive learning) ↗Peng Xue, Yang Li, Suge Wang et al.
  88. 基于多尺度建模的端到端自动语音识别方法(An End-to-End Automatic Speech Recognition Method Based on Multiscale Modeling) ↗Hao Chen, Runlai Zhang, Yuhao Zhang et al.
  89. 基于多意图融合框架的联合意图识别和槽填充(A Multi-Intent Fusion Framework for Joint Intent Detection and Slot Filling) ↗Shangjian Yin, Peijie Huang, Dongzhu Liang et al.
  90. 基于推理链的多跳问答对抗攻击和对抗增强训练方法(Reasoning Chain Based Adversarial Attack and Adversarial Augmentation Training for Multi-hop Question Answering) ↗Jiayu Ding, Siyuan Wang, Zhongyu Wei et al.
  91. 基于数据增强的藏文机器阅读有难度问题的生成(Difficult Question Generation of Tibetan Machine Reading Based on Data Enhancement) ↗Zhengcuo Dan, Long Chen, Junjie Deng et al.
  92. 基于框架语义场景图的零形式填充方法(A Null Instantiation Filling Method based Frame Semantic Scenario Graph) ↗Yuzhi Wang, Ru Li, Xuefeng Su et al.
  93. 基于深加工语料库的《唐诗三百首》难度分级(The difficulty classification of ` Three Hundred Tang Poems ' based on the deep processing corpus) ↗Yuyu Huang, Xinyu Chen, Minxuan Feng et al.
  94. 基于离散化自监督表征增强的老挝语非自回归语音合成方法(A Discretized Self-Supervised Representation Enhancement based Non-Autoregressive Speech Synthesis Method for Lao Language) ↗Zijian Feng, Linqin Wang, Shengxaing Gao et al.
  95. 基于端到端预训练模型的藏文生成式文本摘要(Abstractive Summarization of Tibetan Based on end-to-end Pre-trained Model) ↗Shuo Huang, Xiaodong Yan, Xinpeng OuYang et al.
  96. 基于结构树库的补语位形容词语义分析及搭配库构建\ensuremath*(Semantic analysis of complementary adjectives and construction of collocation database based on structural tree library) ↗Siyu Tian, Tian Shao, Endong Xun et al.
  97. 基于网络词典的现代汉语词义消歧数据集构建(Construction of a Modern Chinese Word Sense Dataset Based on Online Dictionaries) ↗Fukang Yan, Yue Zhang, Zhenghua Li
  98. 基于血缘关系结构的亲属关系推理算法研究(A Study on Kinship Inference Algorithm Based on Blood Relationship Structure) ↗Dawei Lu, Siqin Yang
  99. 基于词向量的自适应领域术语抽取方法(An Adaptive Domain-Specific Terminology Extraction Approach Based on Word Embedding) ↗Xi Tang, Dongchen Jiang, Aoyuan Jiang
  100. 基于词频效应控制的神经机器翻译用词多样性增强方法(Improving Word-level Diversity in Neural Machine Translation by Controlling the Effects of Word Frequency) ↗Xuewen Shi, Ping Jian, Yikun Tang et al.

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