most citedTensor Graph Convolutional Networks for Text Classification

2 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2020★ 1 cited

Applications of BERT Based Sequence Tagging Models on Chinese Medical Text Attributes Extraction

Gang Zhao, Teng Zhang, Chenxiao Wang +2

We convert the Chinese medical text attributes extraction task into a sequence tagging or machine reading comprehension task. Based on BERT pre-trained models, we have not only tri…

cs.CL2020★ 2 cited

Tensor Graph Convolutional Networks for Text Classification

Xien Liu, Xinxin You, Xiao Zhang +2

Compared to sequential learning models, graph-based neural networks exhibit some excellent properties, such as ability capturing global information. In this paper, we investigate g…

cs.CL2018

Exploiting Sentence Embedding for Medical Question Answering

Yu Hao, Xien Liu, Ji Wu +1

Despite the great success of word embedding, sentence embedding remains a not-well-solved problem. In this paper, we present a supervised learning framework to exploit sentence emb…