activity
20192023
most citedAttentional Encoder Network for Targeted Sentiment Classification

235 citations · 301 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 1 cited

Improving Cross-modal Alignment with Synthetic Pairs for Text-only Image Captioning

Zhiyue Liu, Jinyuan Liu, Fanrong Ma

Although image captioning models have made significant advancements in recent years, the majority of them heavily depend on high-quality datasets containing paired images and texts…

cs.CL2023

Deep Learning-Based Knowledge Injection for Metaphor Detection: A Comprehensive Review

Cheng Yang, Zheng Li, Zhiyue Liu +1

Metaphor as an advanced cognitive modality works by extracting familiar concepts in the target domain in order to understand vague and abstract concepts in the source domain. This…

cs.CL2021★ 1 cited

Topic-to-Essay Generation with Comprehensive Knowledge Enhancement

Zhiyue Liu, Jiahai Wang, Zhenghong Li

Generating high-quality and diverse essays with a set of topics is a challenging task in natural language generation. Since several given topics only provide limited source informa…

cs.CL2020★ 59 cited

Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference

Youwei Song, Jiahai Wang, Zhiwei Liang +2

Aspect based sentiment analysis aims to identify the sentimental tendency towards a given aspect in text. Fine-tuning of pretrained BERT performs excellent on this task and achieve…

cs.CL2019★ 5 cited

CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation

Zhiyue Liu, Jiahai Wang, Zhiwei Liang

Generating multiple categories of texts is a challenging task and draws more and more attention. Since generative adversarial nets (GANs) have shown competitive results on general…

cs.CL2019★ 235 cited

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…