A Universality-Individuality Integration Model for Dialog Act Classification

no code implementations • 13 Apr 2022 • Gao Pengfei, Ma Yinglong

Experiments were made over two most popular benchmark data sets SwDA and MRDA for dialogue act classification, and the results show that extracting the universalities and individualities between cues can more fully excavate the hidden information in the utterance, and improve the accuracy of automatic dialogue act recognition.

Classification Dialog Act Classification +1

An Ensemble Learning Based Approach to Multi-label Power Text Classification for Fault-type Recognition

no code implementations • 13 Apr 2022 • Chen Xiaona, Ahmad Tanvir, Ma Yinglong

Second, for the problem that there is lack of the training set for power ICT multi-label text classification, an automatic approach is presented to construct the training set from the historical fault text data stored in power ICT CS systems.

Ensemble Learning Multi-Label Classification +4

A Three-phase Augmented Classifiers Chain Approach Based on Co-occurrence Analysis for Multi-Label Classification

no code implementations • 13 Apr 2022 • Gao Pengfei, Lai Dedi, Zhao Lijiao, Liang Yue, Ma Yinglong

As a very popular multi-label classification method, Classifiers Chain has recently been widely applied to many multi-label classification tasks.

Classification Multi-Label Classification