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Suge Wang

7 accepted papers

2025

My Words Imply Your Opinion: Reader Agent-Based Propagation Enhancement for Personalized Implicit Emotion Analysis

ACL 2025long

The subtlety of emotional expressions makes implicit emotion analysis (IEA) particularly sensitive to user-specific characteristics. Current studies personalize emotion analysis by focusing on the author but neglect the impact of the intended reader on implicit emotional feedback. In this paper, we…

2025

SURE: Mutually Visible Objects and Self-generated Candidate Labels For Relation Extraction

COLING 2025main

Joint relation extraction models effectively mitigate the error propagation problem inherently present in pipeline models. Nevertheless, joint models face challenges including high computational complexity, complex network architectures, difficult parameter tuning, and notably, limited interpretabil…

2024

A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction

AAAI 2024technical

Event Causality Extraction (ECE) aims to extract the cause-effect event pairs with their structured event information from plain texts. As far as we know, the existing ECE methods mainly focus on the correlation between arguments, without explicitly modeling the causal relationship between events, a…

Cited by 1SourcePDFScholar
2024

Document-Level Event Extraction via Information Interaction Based on Event Relation and Argument Correlation

COLING 2024main

Document-level Event Extraction (DEE) is a vital task in NLP as it seeks to automatically recognize and extract event information from a document. However, current approaches often overlook intricate relationships among events and subtle correlations among arguments within a document, which can sign…

Cited by 4SourcePDFScholar
2023

Enhancing Event Causality Identification with Event Causal Label and Event Pair Interaction Graph

ACL 2023findings

Most existing event causality identification (ECI) methods rarely consider the event causal label information and the interaction information between event pairs. In this paper, we propose a framework to enrich the representation of event pairs by introducing the event causal label information and t…

2023

Hierarchical Enhancement Framework for Aspect-based Argument Mining

EMNLP 2023long findings

Aspect-Based Argument Mining (ABAM) is a critical task in computational argumentation. Existing methods have primarily treated ABAM as a nested named entity recognition problem, overlooking the need for tailored strategies to effectively address the specific challenges of ABAM tasks. To this end, we…

Cited by 0SourceScholar
2021

Emotion Inference in Multi-Turn Conversations with Addressee-Aware Module and Ensemble Strategy

EMNLP 2021main

Emotion inference in multi-turn conversations aims to predict the participant’s emotion in the next upcoming turn without knowing the participant’s response yet, and is a necessary step for applications such as dialogue planning. However, it is a severe challenge to perceive and reason about the fut…

Cited by 15SourcePDFScholar