30 citations · 76 across the 4 of their papers we have counts for
5 papers
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
Haiyun Peng, Lu Xu, Lidong Bing +3
Target-based sentiment analysis or aspect-based sentiment analysis (ABSA) refers to addressing various sentiment analysis tasks at a fine-grained level, which includes but is not l…
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
Wei Zhao, Haiyun Peng, Steffen Eger +2
Obstacles hindering the development of capsule networks for challenging NLP applications include poor scalability to large output spaces and less reliable routing processes. In thi…
Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning
Haiyun Peng, Yukun Ma, Soujanya Poria +2
The Chinese pronunciation system offers two characteristics that distinguish it from other languages: deep phonemic orthography and intonation variations. We are the first to argue…
Sentiment and Sarcasm Classification with Multitask Learning
Navonil Majumder, Soujanya Poria, Haiyun Peng +3
Sentiment classification and sarcasm detection are both important natural language processing (NLP) tasks. Sentiment is always coupled with sarcasm where intensive emotion is expre…
Disentangled Variational Auto-Encoder for Semi-supervised Learning
Yang Li, Quan Pan, Suhang Wang +3
Semi-supervised learning is attracting increasing attention due to the fact that datasets of many domains lack enough labeled data. Variational Auto-Encoder (VAE), in particular, h…