57 citations · 79 across the 5 of their papers we have counts for
5 papers
Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement
Hui Liu, Wenya Wang, Haoliang Li
Sarcasm is a linguistic phenomenon indicating a discrepancy between literal meanings and implied intentions. Due to its sophisticated nature, it is usually challenging to be detect…
Elaboration-Generating Commonsense Question Answering at Scale
Wenya Wang, Vivek Srikumar, Hanna Hajishirzi +1
In question answering requiring common sense, language models (e.g., GPT-3) have been used to generate text expressing background knowledge that helps improve performance. Yet the…
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Quanyu Long, Tianze Luo, Wenya Wang +1
In this work, we study Unsupervised Domain Adaptation (UDA) in a challenging self-supervised approach. One of the difficulties is how to learn task discrimination in the absence of…
Multi-task memory networks for category-specific aspect and opinion terms co-extraction
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier
In aspect-based sentiment analysis, most existing methods either focus on aspect/opinion terms extraction or aspect terms categorization. However, each task by itself only provides…
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier +1
In aspect-based sentiment analysis, extracting aspect terms along with the opinions being expressed from user-generated content is one of the most important subtasks. Previous stud…