Titlebook: Information Retrieval; 28th China Conferenc Yi Chang,Xiaofei Zhu Conference proceedings 2023 Springer Nature Switzerland AG 2023 artificial

Lacerate

Shenghao Yang,Yiqun Liu,Xiaohui Xie,Min Zhang,Shaoping Mandividuals able to by-pass security and introducing small charges of explosive inside or near-by such containments. The role of the structural materials is in these situations very important for the safety of the NPP. The worst consequences of an event can contemplate of course huge environmental da

LAST

Jiajun Shan,Zhiqiang Zhang,Yuwei Zeng,Yuyan Ying,Haiyan Wu,Haiyu Song,Yanhong Chen,Shengchun Dengropriate interfaces exist with local and national radiological monitoring data systems, meteorological measurements and forecasts, and for the adaptation to local, regional and national conditions in Europe. Within the European Integrated Project EURANOS of the 6. Framework Programme, the RODOS syst

chance

Yining Zhang,Zherui Zhang,Hongfei Yanndividuals able to by-pass security and introducing small charges of explosive inside or near-by such containments. The role of the structural materials is in these situations very important for the safety of the NPP. The worst consequences of an event can contemplate of course huge environmental da

Folklore

Guoxin Chen,Yongqing Wang,Jiangli Shao,Boshen Shi,Huawei Shen,Xueqi Chengropriate interfaces exist with local and national radiological monitoring data systems, meteorological measurements and forecasts, and for the adaptation to local, regional and national conditions in Europe. Within the European Integrated Project EURANOS of the 6. Framework Programme, the RODOS syst

MILL

,ID-Agnostic User Behavior Pre-training for?Sequential Recommendation,quential recommendation without relying on item IDs. Extensive experiments show that the proposed approach can achieve comparable results when only using ID-agnostic item representations, and performs better than baselines by a large margin when fine-tuned with ID information.

伸展

Enhance Performance of Ad-hoc Search via Prompt Learning,er results compared to BM25 using 100 training queries utilizing prompt learning, while fine-tuning based methods need more data. Further analysis shows the significance of the uniformity of tasks’ format and adding continuous tokens into training in our prompt learning method.

分散

Osteons

OCTO

青春期

,A Learnable Graph Convolutional Neural Network Model for?Relation Extraction,dependencies between nodes. The model offers the advantage of automatically learning high-order abstract representations of the semantic dependencies between words. Moreover, a fusion module was designed to aggregate the global and local semantic structure information of sentences. Further, the prop