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20202026
most citedA Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation

11 citations · 20 across the 11 of their papers we have counts for

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15 papers · 1 filter

cs.CL2026

MiA-Signature: Approximating Global Activation for Long-Context Understanding

Yuqing Li, Jiangnan Li, Mo Yu +3

A growing body of work in cognitive science suggests that reportable conscious access is associated with \emph{global ignition} over distributed memory systems, while such activati…

cs.CL2026

ExDR: Explanation-driven Dynamic Retrieval Enhancement for Multimodal Fake News Detection

Guoxuan Ding, Yuqing Li, Ziyan Zhou +3

The rapid spread of multimodal fake news poses a serious societal threat, as its evolving nature and reliance on timely factual details challenge existing detection methods. Dynami…

cs.CL2024

Think out Loud: Emotion Deducing Explanation in Dialogues

Jiangnan Li, Zheng Lin, Lanrui Wang +6

Humans convey emotions through daily dialogues, making emotion understanding a crucial step of affective intelligence. To understand emotions in dialogues, machines are asked to re…

cs.CL2024

Previously on the Stories: Recap Snippet Identification for Story Reading

Jiangnan Li, Qiujing Wang, Liyan Xu +5

Similar to the "previously-on" scenes in TV shows, recaps can help book reading by recalling the readers' memory about the important elements in previous texts to better understand…

cs.CL2024

Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions

Liyan Xu, Jiangnan Li, Mo Yu +1

This work introduces an original and practical paradigm for narrative comprehension, stemming from the characteristics that individual passages within narratives tend to be more co…

cs.CL2023

SIG: Speaker Identification in Literature via Prompt-Based Generation

Zhenlin Su, Liyan Xu, Jin Xu +2

Identifying speakers of quotations in narratives is an important task in literary analysis, with challenging scenarios including the out-of-domain inference for unseen speakers, an…