Multi-Intent Attribute-Aware Text Matching in Searching

no code implementations • 12 Feb 2024 • Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang

Since attributes from two ends are often not aligned in terms of number and type, we propose to exploit the benefit of attributes by multiple-intent modeling.

Attribute Text Matching

Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout

no code implementations • 7 Oct 2023 • Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

With the widespread adoption of generative models, the Variational Autoencoder(VAE) framework has typically been employed to tackle challenges in reaction prediction, where the reactants are encoded as a condition for the decoder, which then generates the product.

SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic

2 code implementations • 18 Jun 2020 • Qiang Yang, Hind Alamro, Somayah Albaradei, Adil Salhi, Xiaoting Lv, Changsheng Ma, Manal Alshehri, Inji Jaber, Faroug Tifratene, Wei Wang, Takashi Gojobori, Carlos M. Duarte, Xin Gao, Xiangliang Zhang

Since the first alert launched by the World Health Organization (5 January, 2020), COVID-19 has been spreading out to over 180 countries and territories.

Language Modelling Sentiment Analysis

Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention

no code implementations • 1 Mar 2019 • Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jian-Zeng Dong, Shaochun Li

The results demonstrate cluster analysis using outcome-driven multi-task neural network as promising for patient classification and subtyping.

Classification Clustering +2