Incentive Compatible Pareto Alignment for Multi-Source Large Graphs

1 code implementation • 6 Dec 2021 • Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li

Challenges of the problem include 1) how to align large-scale entities between sources to share information and 2) how to mitigate negative transfer from joint learning multi-source data.

A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis

1 code implementation • EMNLP 2020 • Zehui Dai, Cheng Peng, Huajie Chen, Yadong Ding

In this paper, to make multi-task learning feasible for incremental learning, we proposed Category Name Embedding network (CNE-net).

Aspect Category Sentiment Analysis Incremental Learning +3

Charge-Based Prison Term Prediction with Deep Gating Network

no code implementations • IJCNLP 2019 • Huajie Chen, Deng Cai, Wei Dai, Zehui Dai, Yadong Ding

Judgment prediction for legal cases has attracted much research efforts for its practice use, of which the ultimate goal is prison term prediction.

feature selection