2 citations · 3 across the 9 of their papers we have counts for
9 papers
Abstract Event Causal Rules: Induction and Application
Ziwei Zheng, Peiqiong Chen, Bang Wang
Event-centric intelligent analytical systems heavily depend on explicit causal event knowledge for risk early warning, decision-making support and narrative comprehension. Neverthe…
What Would Happen Next? Predicting Consequences from An Event Causality Graph
Chuanhong Zhan, Wei Xiang, Chao Liang +1
Existing script event prediction task forcasts the subsequent event based on an event script chain. However, the evolution of historical events are more complicated in real world s…
Identifying while Learning for Document Event Causality Identification
Cheng Liu, Wei Xiang, Bang Wang
Event Causality Identification (ECI) aims to detect whether there exists a causal relation between two events in a document. Existing studies adopt a kind of identifying after lear…
In-context Contrastive Learning for Event Causality Identification
Chao Liang, Wei Xiang, Bang Wang
Event Causality Identification (ECI) aims at determining the existence of a causal relation between two events. Although recent prompt learning-based approaches have shown promisin…
Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation Recognition
Bang Wang, Zhenglin Wang, Wei Xiang +1
Implicit discourse relation recognition (IDRR) aims at recognizing the discourse relation between two text segments without an explicit connective. Recently, the prompt learning ha…
DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification
Wei Xiang, Chuanhong Zhan, Bang Wang
Event Causality Identification (ECI) aims at determining whether there is a causal relation between two event mentions. Conventional prompt learning designs a prompt template to fi…
TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition
Wei Xiang, Chao Liang, Bang Wang
Implicit Discourse Relation Recognition (IDRR) aims at classifying the relation sense between two arguments without an explicit connective. Recently, the ConnPrompt~\cite{Wei.X:et.…
Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction
Lu Dai, Bang Wang, Wei Xiang +1
Recently, prompt-tuning has attracted growing interests in event argument extraction (EAE). However, the existing prompt-tuning methods have not achieved satisfactory performance d…
A Survey of Implicit Discourse Relation Recognition
Wei Xiang, Bang Wang
A discourse containing one or more sentences describes daily issues and events for people to communicate their thoughts and opinions. As sentences are normally consist of multiple…