activity
20162020
most citedWikipedia Vandal Early Detection: from User Behavior to User Embedding

7 citations · 13 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2020★ 1 cited

Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text

Shengbin Jia, Ling Ding, Xiaojun Chen +2

Chinese word segmentation is necessary to provide word-level information for Chinese named entity recognition (NER) systems. However, segmentation error propagation is a challenge…

cs.CL2019

Hybrid Neural Tagging Model for Open Relation Extraction

Shengbin Jia, Yang Xiang

Open relation extraction (ORE) remains a challenge to obtain a semantic representation by discovering arbitrary relation tuples from the unstructured text. Conventional methods hea…

cs.AI2018★ 4 cited

Chinese User Service Intention Classification Based on Hybrid Neural Network

Shengbin Jia, Yang Xiang

In order to satisfy the consumers' increasing personalized service demand, the Intelligent service has arisen. User service intention recognition is an important challenge for inte…

cs.CR2017★ 7 cited

Wikipedia Vandal Early Detection: from User Behavior to User Embedding

Shuhan Yuan, Panpan Zheng, Xintao Wu +1

Wikipedia is the largest online encyclopedia that allows anyone to edit articles. In this paper, we propose the use of deep learning to detect vandals based on their edit history.…

cs.CL2017

Task-specific Word Identification from Short Texts Using a Convolutional Neural Network

Shuhan Yuan, Xintao Wu, Yang Xiang

Task-specific word identification aims to choose the task-related words that best describe a short text. Existing approaches require well-defined seed words or lexical dictionaries…

cs.SI2017★ 1 cited

SNE: Signed Network Embedding

Shuhan Yuan, Xintao Wu, Yang Xiang

Several network embedding models have been developed for unsigned networks. However, these models based on skip-gram cannot be applied to signed networks because they can only deal…