NLPExplorer

CCL - 2021

Total Papers:- 109

Total Papers accross all years:- 306

Total Citations :- 0

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基于大规模语料库的《古籍汉字分级字表》研究(The Formulation of The graded Chinese character list of ancient books Based on Large-scale Corpus)

Changwei Xu (许长伟) | Minxuan Feng (冯敏萱) | Bin Li (李斌) | Yiguo Yuan (袁义国) |

基于人物特征增强的拟人句要素抽取方法研究(Research on Element Extraction of Personified Sentences Based on Enhanced Characters)

Jing Li (李婧) | Suge Wang (王素格) | Xin Chen (陈鑫) | Dian Wang (王典) |

JCapsR: 一种联合胶囊神经网络的藏语知识图谱表示学习模型(JCapsR: A Joint Capsule Neural Network for Tibetan Knowledge Graph Representation Learning)

Yuan Sun (孙媛) | Jiaya Liang (梁家亚) | Andong Chen (陈安东) | Xiaobing Zhao (赵小兵) |

融合多粒度特征的低资源语言词性标记和依存分析联合模型(A Joint Model with Multi-Granularity Features of Low-resource Language POS Tagging and Dependency Parsing)

先秦词网构建及梵汉对比研究(The Construction of Pre-Qin Ancient Chinese WordNet and Cross Language Comparative Study between Ancient Sanskrit WordNet and Pre-Qin Ancient Chinese WordNet)

Xuehui Lu (卢雪晖) | Huidan Xu (徐会丹) | Siyu Chen (陈思瑜) | Bin Li (李斌) |

Low-Resource Machine Translation based on Asynchronous Dynamic Programming

基于HowNet的无监督汉语动词隐喻识别方法(Unsupervised Chinese Verb Metaphor Recognition Method Based on HowNet)

Minghao Zhang (张明昊) | Dongyu Zhang (张冬瑜) | Hongfei Lin (林鸿飞) |

基于多质心异质图学习的社交网络用户建模(User Representation Learning based on Multi-centroid Heterogeneous Graph Neural Networks)

基于信息交互增强的时序关系联合识别(Joint Recognition of Temporal Relation Based on Information Interaction Enhancement)

Qianying Dai (戴倩颖) | Fang Kong (孔芳) |

古汉语词义标注语料库的构建及应用研究(The Construction and Application of Ancient Chinese Corpus with Word Sense Annotation)

基于词信息嵌入的汉语构词结构识别研究(Chinese Word-Formation Prediction based on Representations of Word-Related Features)

基于多任务标签一致性机制的中文命名实体识别(Chinese Named Entity Recognition based on Multi-task Label Consistency Mechanism)

Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks

Feng Xiachong | Feng Xiaocheng | Qin Bing |

基于改进Conformer的新闻领域端到端语音识别(End-to-End Speech Recognition in News Field based on Conformer)

基于预训练语言模型的繁体古文自动句读研究(Automatic Traditional Ancient Chinese Texts Segmentation and Punctuation Based on Pre-training Language Model)