no code implementations • COLING 2022 • Xinyu Zuo, Haijin Liang, Ning Jing, Shuang Zeng, Zhou Fang, Yu Luo
On the other hand, we design a constrained contrastive strategy on the hierarchical structure to directly model the type differences, which can simultaneously perceive the distinguishability between types at different granularity.
1 code implementation • 19 Aug 2022 • Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng
Current causal text mining datasets vary in objectives, data coverage, and annotation schemes.
no code implementations • ACL 2021 • Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen, Weihua Peng
Specifically, to make use of the descriptive knowledge, we devise a Descriptive Graph Induction module to obtain and encode the graph-structured descriptive knowledge.
no code implementations • Findings (ACL) 2021 • Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen
Current models for event causality identification (ECI) mainly adopt a supervised framework, which heavily rely on labeled data for training.
no code implementations • ACL 2021 • Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen
On the other hand, our approach employs a dual mechanism, which is a learnable augmentation framework and can interactively adjust the generation process to generate task-related sentences.
no code implementations • COLING 2020 • Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
Modern models of event causality detection (ECD) are mainly based on supervised learning from small hand-labeled corpora.
no code implementations • CCL 2020 • Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
PSAN can assist in causal explanation detection via capturing the salient semantics of discourses contained in their keywords with a bottom graph-based word-level salient network.
no code implementations • 22 Sep 2020 • Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
Event coreference resolution(ECR) is an important task in Natural Language Processing (NLP) and nearly all the existing approaches to this task rely on event argument information.