activity
20192022
most citedNeural Text Classification by Jointly Learning to Cluster and Align

2 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2022

X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection

Yaqian Han, Yekun Chai, Shuohuan Wang +5

Detecting sarcasm and verbal irony from people's subjective statements is crucial to understanding their intended meanings and real sentiments and positions in social scenarios. Th…

cs.CL20221 cited

Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards

Yekun Chai, Shuohuan Wang, Yu Sun +3

Derivative-free prompt learning has emerged as a lightweight alternative to prompt tuning, which only requires model inference to optimize the prompts. However, existing work did n…

cs.CL20212 cited

RefineCap: Concept-Aware Refinement for Image Captioning

Yekun Chai, Shuo Jin, Junliang Xing

Automatically translating images to texts involves image scene understanding and language modeling. In this paper, we propose a novel model, termed RefineCap, that refines the outp…

cs.CL20202 cited

Neural Text Classification by Jointly Learning to Cluster and Align

Yekun Chai, Haidong Zhang, Shuo Jin

Distributional text clustering delivers semantically informative representations and captures the relevance between each word and semantic clustering centroids. We extend the neura…

cs.CL2020

Highway Transformer: Self-Gating Enhanced Self-Attentive Networks

Yekun Chai, Shuo Jin, Xinwen Hou

Self-attention mechanisms have made striking state-of-the-art (SOTA) progress in various sequence learning tasks, standing on the multi-headed dot product attention by attending to…

cs.CL2019

How to Evaluate Word Representations of Informal Domain?

Yekun Chai, Naomi Saphra, Adam Lopez

Diverse word representations have surged in most state-of-the-art natural language processing (NLP) applications. Nevertheless, how to efficiently evaluate such word embeddings in…