Titlebook: Intelligent Information Processing XI; 12th IFIP TC 12 Inte Zhongzhi Shi,Jean-Daniel Zucker,Bo An Conference proceedings 2022 IFIP Internat

RAG

Conspiracy

Classification Between Rumors and Explanations of Rumors Based on Common and Difference Subsequencesmation. Previous automatic rumors detection models are mainly built by training a supervised classification model on a labeled dataset containing rumor samples and true information samples. However, in many real cases, there is only one short piece of available true information sample given by an au

清醒

Double-Channel Multi-layer Information Fusion for Text Matchinggnore other semantic information which may further improve matching accuracy. In this paper, we propose a novel model for text matching with double-channel multi-layer information fusion. It treats text and part-of-speech information of words in a sentence as double-channel information which is fuse

Astigmatism

积云

Does Large Pretrained Dataset Always Help? On the Effect of Dataset Size on Big Transfer Modelng point for a model on a consequent task. It is evident that deep neural networks entail massive datasets to build and train feasible models. To gain massive and qualified datasets, nonetheless, seems expensive and time-consuming. This paper firstly examines the scale of a dataset so as to train an

MOCK

Gum-Disease

meritorious

危机

开始没有