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20182021
most citedCAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

189 citations · 346 across the 19 of their papers we have counts for

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6 papers · 1 filter

cs.AI2018★ 21 cited

Overview of CAIL2018: Legal Judgment Prediction Competition

Haoxi Zhong, Chaojun Xiao, Zhipeng Guo +8

In this paper, we give an overview of the Legal Judgment Prediction (LJP) competition at Chinese AI and Law challenge (CAIL2018). This competition focuses on LJP which aims to pred…

cs.CL2018★ 37 cited

Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing

Bo Chen, Le Sun, Xianpei Han

This paper proposes a neural semantic parsing approach -- Sequence-to-Action, which models semantic parsing as an end-to-end semantic graph generation process. Our method simultane…

cs.CL2018★ 189 cited

CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

Chaojun Xiao, Haoxi Zhong, Zhipeng Guo +8

In this paper, we introduce the \textbf{C}hinese \textbf{AI} and \textbf{L}aw challenge dataset (CAIL2018), the first large-scale Chinese legal dataset for judgment prediction. \da…

cs.CL2018

Adaptive Scaling for Sparse Detection in Information Extraction

Hongyu Lin, Yaojie Lu, Xianpei Han +1

This paper focuses on detection tasks in information extraction, where positive instances are sparsely distributed and models are usually evaluated using F-measure on positive clas…

cs.CL2018★ 4 cited

Nugget Proposal Networks for Chinese Event Detection

Hongyu Lin, Yaojie Lu, Xianpei Han +1

Neural network based models commonly regard event detection as a word-wise classification task, which suffer from the mismatch problem between words and event triggers, especially…

cs.CL2018★ 11 cited

Variational Recurrent Neural Machine Translation

Jinsong Su, Shan Wu, Deyi Xiong +3

Partially inspired by successful applications of variational recurrent neural networks, we propose a novel variational recurrent neural machine translation (VRNMT) model in this pa…