most citedA Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text

33 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2018

Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text

Ji Wen, Xu Sun, Xuancheng Ren +1

Relation classification is an important semantic processing task in the field of natural language processing. In this paper, we propose the task of relation classification for Chin…

cs.CL2018★ 3 cited

Building an Ellipsis-aware Chinese Dependency Treebank for Web Text

Xuancheng Ren, Xu Sun, Ji Wen +3

Web 2.0 has brought with it numerous user-produced data revealing one's thoughts, experiences, and knowledge, which are a great source for many tasks, such as information extractio…

cs.CL2017★ 6 cited

Structure Regularized Bidirectional Recurrent Convolutional Neural Network for Relation Classification

Ji Wen

Relation classification is an important semantic processing task in the field of natural language processing (NLP). In this paper, we present a novel model, Structure Regularized B…

cs.CL2017

Sentence Correction Based on Large-scale Language Modelling

Ji Wen

With the further development of informatization, more and more data is stored in the form of text. There are some loss of text during their generation and transmission. The paper a…

cs.CL2017★ 33 cited

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text

Jingjing Xu, Ji Wen, Xu Sun +1

Named Entity Recognition and Relation Extraction for Chinese literature text is regarded as the highly difficult problem, partially because of the lack of tagging sets. In this pap…