23 citations · 46 across the 6 of their papers we have counts for
6 papers
Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training
Zhangxiaobing, Tangzhenhao, Longzi +1
Recently, a large number of studies have shown that the introduction of visual information can effectively improve the effect of neural machine translation (NMT). Its effectiveness…
Multimodal Neural Machine Translation with Search Engine Based Image Retrieval
ZhenHao Tang, XiaoBing Zhang, Zi Long +1
Recently, numbers of works shows that the performance of neural machine translation (NMT) can be improved to a certain extent with using visual information. However, most of these…
Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling
Zi Long, Lianzhi Tan, Shengping Zhou +2
Indicators of Compromise (IOCs) are artifacts observed on a network or in an operating system that can be utilized to indicate a computer intrusion and detect cyber-attacks in an e…
Automatic Identification of Indicators of Compromise using Neural-Based Sequence Labelling
Shengping Zhou, Zi Long, Lianzhi Tan +1
Indicators of Compromise (IOCs) are artifacts observed on a network or in an operating system that can be utilized to indicate a computer intrusion and detect cyber-attacks in an e…
Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation
Zi Long, Takehito Utsuro, Tomoharu Mitsuhashi +1
Neural machine translation (NMT), a new approach to machine translation, has achieved promising results comparable to those of traditional approaches such as statistical machine tr…
Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy
Zi Long, Ryuichiro Kimura, Takehito Utsuro +2
Neural machine translation (NMT), a new approach to machine translation, has achieved promising results comparable to those of traditional approaches such as statistical machine tr…