24 citations · 50 across the 7 of their papers we have counts for
5 papers · 1 filter
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check
Xingyi Cheng, Weidi Xu, Kunlong Chen +5
Chinese Spelling Check (CSC) is a task to detect and correct spelling errors in Chinese natural language. Existing methods have made attempts to incorporate the similarity knowledg…
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction
Weipeng Huang, Xingyi Cheng, Taifeng Wang +1
In this paper, we report our method for the Information Extraction task in 2019 Language and Intelligence Challenge. We incorporate BERT into the multi-head selection framework for…
An end-to-end Neural Network Framework for Text Clustering
Jie Zhou, Xingyi Cheng, Jinchao Zhang
The unsupervised text clustering is one of the major tasks in natural language processing (NLP) and remains a difficult and complex problem. Conventional \mbox{methods} generally t…
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning
Weipeng Huang, Xingyi Cheng, Kunlong Chen +2
The ambiguous annotation criteria lead to divergence of Chinese Word Segmentation (CWS) datasets in various granularities. Multi-criteria Chinese word segmentation aims to capture…
Variational Semi-supervised Aspect-term Sentiment Analysis via Transformer
Xingyi Cheng, Weidi Xu, Taifeng Wang +1
Aspect-term sentiment analysis (ATSA) is a longstanding challenge in natural language understanding. It requires fine-grained semantical reasoning about a target entity appeared in…