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20202025
most citedTopic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection

11 citations · 25 across the 11 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2023★ 3 cited

Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding

Lixing Zhu, Runcong Zhao, Lin Gui +1

Narrative understanding involves capturing the author's cognitive processes, providing insights into their knowledge, intentions, beliefs, and desires. Although large language mode…

cs.CL2023★ 1 cited

NarrativePlay: Interactive Narrative Understanding

Runcong Zhao, Wenjia Zhang, Jiazheng Li +4

In this paper, we introduce NarrativePlay, a novel system that allows users to role-play a fictional character and interact with other characters in narratives such as novels in an…

cs.CL2023

PANACEA: An Automated Misinformation Detection System on COVID-19

Runcong Zhao, Miguel Arana-Catania, Lixing Zhu +6

In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-check…

cs.CL2022

Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media

Lixing Zhu, Zheng Fang, Gabriele Pergola +2

Building models to detect vaccine attitudes on social media is challenging because of the composite, often intricate aspects involved, and the limited availability of annotated dat…

cs.CL2021★ 11 cited

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection

Lixing Zhu, Gabriele Pergola, Lin Gui +2

Emotion detection in dialogues is challenging as it often requires the identification of thematic topics underlying a conversation, the relevant commonsense knowledge, and the intr…

cs.CL2020

A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings

Lixing Zhu, Yulan He, Deyu Zhou

We propose a novel generative model to explore both local and global context for joint learning topics and topic-specific word embeddings. In particular, we assume that global late…