activity
20192023
most citedUtilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference

59 citations · 66 across the 5 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

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…