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ORCID29th DASFAA 2024: Gifu, Japan - Part V
- Makoto Onizuka
, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14854, Springer 2024, ISBN 978-981-97-5568-4
Natural Language Processing
- Junwei Zhang, Tianheng Wang, Chenyang Wang, Yude Bai, Yupeng Zhang, Yantao Li:
Emotional Polarity Attention Mechanism for Text Sentiment Analysis. 3-18 - Zhefan Wang, Weizhi Ma, Min Zhang:
To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models. 19-35 - Chen Shen, Jin Wang:
Investigation of Simple-but-Effective Architecture for Long-form Text Matching with Transformers. 36-51 - Yinghan Shen, Yu Yan, Dechun Yin, Huawei Shen:
S2-HTC: Hierarchical Text Classification via Fusing the Structural and Semantic Information. 52-70 - Chenhui Yang, Daling Wang, Shi Feng, Yifei Zhang, Ge Yu:
E&S-Gainer: An Emotion Aware and Strategy Enhanced Model for Emotional Support Conversation. 71-87 - Xiaotong Lyu, Denghao Ma, Yueguo Chen:
Domain-specific Answer Sentence Selection with Terminology Augmentation and Cascade Attention. 88-103 - Shun Zhang, Chaoran Yan, Jian Yang, Changyu Ren, Jiaqi Bai, Tongliang Li, Zhoujun Li:
RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations. 104-119 - Wei Fan, Weijia Zhang, Weiqi Wang, Yangqiu Song, Hao Liu:
Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation. 120-137 - Xiao Gu, Zhaojing Luo, Meihui Zhang:
MG-CTG: A Framework for Controllable Text Generation Across Multiple Granularities. 138-154 - Yiping Liang, Linlin Wang, Xiaoling Wang, Liang He:
A Prototypical Classifier with Boosting Augmented Redundancy Detector for Causal Analysis of Mental Health over Social Media. 155-172 - Kehang Wang, Ye Liu, Kai Zhang, Qi Liu, Yankun Ren, Xinxing Yang, Longfei Li, Jun Zhou:
QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction. 173-189 - Xinyu Chen, Lin Li, Rui Zhang, Peng Liang:
On Unified Prompt Tuning for Request Quality Assurance in Public Code Review. 190-207 - Zefeng Feng, Yingqi Zhang, Shun Mao, Yuncheng Jiang:
MGSD: Multi-Graph Joint Framework Based on Semantic Dependency for Chinese NER. 208-218 - Tao Liu, Xinfeng Zeng, Qingqaing Wu, Meihong Wang:
ANDI: a Joint Disambiguation Framework Integrating Author Name Disambiguation Goals. 219-229
Large Language Model
- Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai:
RecGPT. 233-250 - Yike Wu, Jiatao Zhang, Nan Hu, Lanling Tang, Guilin Qi, Jun Shao, Jie Ren, Wei Song:
MLDT: Multi-Level Decomposition for Complex Long-Horizon Robotic Task Planning with Open-Source Large Language Model. 251-267 - Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao:
FedJudge: Federated Legal Large Language Model. 268-285 - Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen:
Unlocking the Potential of Large Language Models for Explainable Recommendations. 286-303 - Shengbin Yue, Shujun Liu, Yuxuan Zhou, Chenchen Shen, Siyuan Wang, Yao Xiao, Bingxuan Li, Yun Song, Xiaoyu Shen, Wei Chen, Xuanjing Huang, Zhongyu Wei:
LawLLM: Intelligent Legal System with Legal Reasoning and Verifiable Retrieval. 304-321 - Jiakai Tang, Wenzhou Dou, Derong Shen, Tiezheng Nie, Yue Kou:
Towards Long-Text Entity Resolution with Chain-of-Thought Knowledge Augmentation from Large Language Models. 322-336 - Haoming Li, Wen Wu, Yu Ji, Hong Zheng, Liye Shi, Xi Chen, Liang He:
MetaESC: Enhancing Emotional Support Conversation through Metacognition. 337-348 - Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen:
Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models. 349-359 - Xin Yi, Linlin Wang, Xiaoling Wang, Liang He:
Scenarios-aware Commonsense Correcton via Instance-level Knowledge Injection. 360-370 - Shuchong Wei, Liangjun Zang, Xiaobin Zhang, Qianwen Liu, Songlin Hu:
Leveraging Evolution Patterns to Enhance Script Event Prediction by Large Language Models. 371-380 - Shenghao Yang, Weizhi Ma, Peijie Sun, Min Zhang, Qingyao Ai, Yiqun Liu, Mingchen Cai:
Common Sense Enhanced Knowledge-based Recommendation with Large Language Model. 381-390
Time Series and Stream Data
- Rui Zhu, Meiyu Guo, Anzhen Zhang, Tao Qiu, Chuanyu Zong, Jiajia Li, Hong Jiang, Bin Wang:
Multiple Continuous Outlier Detection over Data Stream. 393-408 - Ziyue Xu, Sutong Huang, Di Fei, Liping Yi, Chenfei Zhou, Gang Wang, Xiaoguang Liu, Xinyu Liu, Wenqing Yu, Zijing Wei, Shaozhi Liu:
AdpDM: Adaptive Data Model for Efficient Dynamic Management of Large-Scale High-Cardinality Time-Series Databases. 409-425 - Zhen-Wei Huang, Yuefang Gao, Ling Huang, Zhongjie Zeng, Jiaquan Chen, Yingjie Kuang:
Knowledge-aware Multi-scale Time Series Abnormal Segment Detection. 426-441 - Han Hu, Jiye Qiu, Hongzhi Wang, Bin Liang, Songling Zou:
bSAX: A Novel Sketch for Efficient Data Series Similarity Search. 442-458 - Fulu Kou, Lixing Yu, Kun Yue, Liang Duan, Zhongbin Li:
Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions. 459-475 - Gang Tu, Dan Li, Bingxin Lin, Zibin Zheng, See-Kiong Ng:
GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series. 476-492 - Xiao Tan, Zhaoyang Wang, Meng Wang, Dian Shen, Weitong Chen, Beilun Wang:
Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix. 493-502 - Yushu Sun, Nifei Bi, Chen Xu, Yuean Niu, Hongfu Zhou:
Accelerating Synchronous Distributed Data Parallel Training with Small Batch Sizes. 503-513 - Ruizhe Ma, Cheng Zhang, Yue Kang, Xiaofei Wang, Chao Qiu:
MCD: Multi-stage Catalytic Distillation for Time Series Forecasting. 514-525 - Xiu Fang, Hao Chen, Xinyang Du, Ziqi Wei, Yang Zheng, Guohao Sun:
Dynamic Confidence-aware Truth Discovery on Unevenly Distributed Data Streams. 526-537
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