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Natural language processing and Chinese computing : 13th National CCF Conference, NLPCC 2024, Hangzhou, China, November 1-3, 2024, proceedings. Part I / Derek F. Wong, Zhongyu Wei, Muyun Yang, editors.
Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online
View online- Format:
- Book
- Conference/Event
- Conference Name:
- NLPCC (Conference) (13th : 2024 : Hangzhou, China), author.
- Series:
- Lecture notes in computer science ; 15359.
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141
- LNCS sublibrary. Artificial intelligence SL 7,
- Lecture notes in computer science. Lecture notes in artificial intelligence, 2945-9141 ; 15359
- LNCS sublibrary: SL7 - Artificial intelligence
- Language:
- English
- Subjects (All):
- Natural language processing (Computer science)--Congresses.
- Natural language processing (Computer science).
- Chinese language--Data processing--Congresses.
- Chinese language.
- Genre:
- proceedings (reports)
- Conference papers and proceedings.
- Physical Description:
- 1 online resource (xxxiv, 519 pages) : illustrations (chiefly color).
- Other Title:
- NLPCC 2024
- Place of Publication:
- Singapore : Springer, [2025]
- Summary:
- The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.
- Contents:
- Overcoming rigid and monotonous : enhancing knowledge-grounded conversation generation via multi-granularity knowledge / Xingsheng Zhang, YiFan Deng, Yue Hu, Yunpeng Li, and Ping Guo
- Learning to generate style-specific adapters for stylized dialogue generation / Jinpeng Li, Yuhang Chen, Pengfei Wu, Yingce Xia, Shufang Xie, Dongyan Zhao, and Rui Yan
- Hierarchical knowledge aggregation for personalized response generation in dialogue systems / Yuezhou Dong, Ke Qin, and Shuang Liang
- Multi-hop reading comprehension model based on abstract meaning representation and multi-task joint learning / Peiyu Zhao, Zhujian Zhang, and Bo Liu
- Leveraging large language models for QA dialogue dataset construction and analysis in public services / Chaomin Wu, Di Wu, Yushan Pan, and Hao Wang
- MCFC : A momentum-driven clicked feature compressed pre-trained language model for information retrieval / Dongyang Li, Ruixue Ding, Pengjun Xie, and Xiaofeng He
- Integrating syntax tree and graph neural network for conversational question answering over heterogeneous sources / Meiwen Li, Tianyu Cai, Lingyan Wu, Li Chen, and Shenggen Ju
- PqE : Zero-shot document expansion for dense retrieval with large language models / Jiyuan Liu, Dongsheng Zou, Naiquan Chai, Yuming Yang, Hao Wang, and Xinyi Song
- CKF : Conditional knowledge fusion method for common sense question answering / Minghui Xie, Chuzhan Hao, Peng Zhang, and XinDian Ma
- MPPQA : Structure-aware extractive multi-span question answering for procedural documents / Bihan Zhou, Haopeng Ren, Yi Cai, Zetao Lian, Pinli Zhu, and Yushi Zeng
- GraphLLM : A general framework for multi-hop question answering over knowledge graphs using large language models / Zijian Qiao, Nan Li, Chenxi Huang, Gangliang Wang, Shenglin Liang, Hui Lin, and Qinglang Guo
- Local or global optimization for dialogue discourse parsing / Chengrui Wang, Shaoming Ji, and Fang Kong
- Structure and behavior dual-graph reasoning with integrated key-clue parsing for multi-party dialogue reading comprehension / Rui Cao, Xiabing Zhou, and Guodong Zhou
- Enhancing emotional support conversation with cognitive chain-of-thought reasoning / Yaru Cao, Zhuang Chen, Guanqun Bi, Yulin Feng, Min Chen, Fucheng Wan, Minlie Huang, and Hongzhi Yu
- A simple and effective span interaction modeling method for enhancing multiple span question answering / Yingying Zhang, Zhiyi Luo, and Zuohua Ding
- FacGPT : An effective and efficient method for evaluating knowledge-based visual question answering / Sirui Cheng, Siyu Zhang, Jiayi Wu, Muchen Lan, and Yaoru Sun
- PAPER : A persona-aware chain-of-thought learning framework for personalized dialogue response generation / Yameng Li, Shi Feng, Daling Wang, Yifei Zhang, and Xiaocui Yang
- Towards building a robust knowledge intensive question answering model with large language models / Xingyun Hong, Yan Shao, Zhilin Wang, Manni Duan, and Xiongnan Jin
- Model-agnostic knowledge distillation between heterogeneous models / Jiaxin Shen, Yanyao Liu, Yong Jiang, Yufeng Chen, and Wenjuan Han
- Exploring multimodal information fusion in spoken off-topic degree assessment / Fan Cong, Guo Shen, and Aishan Wumaier
- Integrating hierarchical key information and semantic difference features for long text matching / Chunnian Wang, Junliang Li, and Hu Zhang
- CausalAPM : Generalizable literal disentanglement for NLU debiasing / Shihan Dou, Songyang Gao, Tao Gui, and Qi Zhang
- W2CL : A multi-task learning approach to improve domain-specific sentence classification through word classification and contrastive learning / Sirui Yan, Zhiyi Luo, Shuyun Luo, and Ying Qiu
- Outperforming larger models on text classification through continued pre-training / Yu Zheng, Ming Liu, Zou Ao, Wenning Hao, Hui Zhang, and Yi Sun
- Semantic knowledge enhanced and global pointer optimized method for medical nested entity recognition / Yilin Song and Fang Kong
- CSLAN : A novel lexicon attention network for Chinese NER / Rongsheng Lin, Shubin Cai, and Zhong Ming
- S2D : Enhancing zero-shot cross-lingual event argument extraction with semantic knowledge / Zongkai Zhao, Xiuhua Li, and Kaiwen Wei
- Bias-rectified multi-way learning with data augmentation for implicit discourse relation recognition / Ziwei Zheng, Chao Liang, Wei Xiang, and Bang Wang
- Retrieval-enhanced template generation for template extraction / Renyu Wang, Wei Xiang, Zhenhua Wang, and Bang Wang
- Chinese named entity recognition based on template and contrastive learning / Jingjing Zhu, Tianyu Cai, Zhenyu Zhao, and Shenggen Ju
- Enhancing logical rules based on self-distillation for document-level relation extraction / Yanxu Mao, Tiehan Cui, and Ying Ding
- Prompt-based joint contrastive learning for zero-shot relation extraction / Jianjian Zou, Yuhui Xiao, Sichi Zhou, Wei Li, and Qun Yang
- Low-resource event causality identification with global consistency constraints / Kangyun Ning, Jian Liu, and Jinan Xu
- Only one relation possible? Modeling the ambiguity in temporal relation extraction / Yutong Hu, Quzhe Huang, and Yansong Feng
- Empowering LLMs for long-text information extraction in Chinese legal documents / Chenchen Shen, Chengwei Ji, Shengbin Yue, Xiaoyu Shen, Yun Song, Xuanjing Huang, and Zhongyu Wei
- LLMADR : A novel method for adverse drug reaction extraction based on style aligned large language models fine-tuning / Huazi Yin, Jintao Tang, Shasha Li, and Ting Wang
- Research on named entity recognition in ancient chinese based on incremental pre-training and domain lexicon / Wenjun Kang, Jiali Zuo, Qili Dai, Yiyu Hu, and Mingwen Wang
- MCKRL : A multi-channel based multi-graph knowledge representation learning model / Zihao Tang, Xiang Zhang, and Xiaoyu Shang.
- Notes:
- Conference proceedings.
- Includes bibliographical references and index.
- Online resource; title from PDF title page (SpringerLink, viewed November 11, 2024).
- Other Format:
- Print version: Wong, Derek F. Natural Language Processing and Chinese Computing
- ISBN:
- 9789819794317
- 9819794315
- OCLC:
- 1465361706
- Access Restriction:
- Restricted for use by site license
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