activity
20222025
most citedA Hybrid Model of Classification and Generation for Spatial Relation Extraction

3 citations · 3 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2025

Two-stage Incomplete Utterance Rewriting on Editing Operation

Zhiyu Cao, Peifeng Li, Qiaoming Zhu +1

Previous work on Incomplete Utterance Rewriting (IUR) has primarily focused on generating rewritten utterances based solely on dialogue context, ignoring the widespread phenomenon…

cs.CL2025

Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation

Zhiyu Cao, Peifeng Li, Yaxin Fan +1

Although existing fashionable generation methods on Incomplete Utterance Rewriting (IUR) can generate coherent utterances, they often result in the inclusion of irrelevant and redu…

cs.CV2025

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation

Lizhi Chen, Zhong Qian, Peifeng Li +1

Multimodal fake news videos are difficult to interpret because they require comprehensive consideration of the correlation and consistency between multiple modes. Existing methods…

cs.CL2023

CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities

Sheng Xu, Peifeng Li, Qiaoming Zhu

Event coreference resolution (ECR) aims to group event mentions referring to the same real-world event into clusters. Most previous studies adopt the "encoding first, then scoring"…

cs.CL2023

Multi-Granularity Prompts for Topic Shift Detection in Dialogue

Jiangyi Lin, Yaxin Fan, Xiaomin Chu +2

The goal of dialogue topic shift detection is to identify whether the current topic in a conversation has changed or needs to change. Previous work focused on detecting topic shift…

cs.CL2023

Topic-driven Distant Supervision Framework for Macro-level Discourse Parsing

Feng Jiang, Longwang He, Peifeng Li +2

Discourse parsing, the task of analyzing the internal rhetorical structure of texts, is a challenging problem in natural language processing. Despite the recent advances in neural…