235 citations · 238 across the 4 of their papers we have counts for
4 papers
Self-supervised Topic Taxonomy Discovery in the Box Embedding Space
Yuyin Lu, Hegang Chen, Pengbo Mao +4
Topic taxonomy discovery aims at uncovering topics of different abstraction levels and constructing hierarchical relations between them. Unfortunately, most of prior work can hardl…
Topic Driven Adaptive Network for Cross-Domain Sentiment Classification
Yicheng Zhu, Yiqiao Qiu, Qingyuan Wu +2
Cross-domain sentiment classification has been a hot spot these years, which aims to learn a reliable classifier using labeled data from a source domain and evaluate it on a target…
Context Reinforced Neural Topic Modeling over Short Texts
Jiachun Feng, Zusheng Zhang, Cheng Ding +2
As one of the prevalent topic mining tools, neural topic modeling has attracted a lot of interests for the advantages of high efficiency in training and strong generalisation abili…
Attentional Encoder Network for Targeted Sentiment Classification
Youwei Song, Jiahai Wang, Tao Jiang +2
Targeted sentiment classification aims at determining the sentimental tendency towards specific targets. Most of the previous approaches model context and target words with RNN and…