A Reinforcement Learning-Based Generative Approach for Event Temporal Relation Extraction

A Reinforcement Learning-Based Generative Approach for Event Temporal Relation Extraction

Event temporal relation extraction is a crucial task in natural language processing, aimed at recognizing the temporal relations between event triggers in a text. Despite extensive efforts in this area, the existing methods face two main issues. Firstly, the previous models for event temporal relati...

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Bibliographic Details
Main Authors: Zhonghua Wu, Wenzhong Yang, Meng Zhang, Fuyuan Wei, Xinfang Liu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Entropy
Subjects:
temporal relation extraction
generative models
multi-task learning
dependency path
reinforcement learning
policy gradient method
Online Access:https://www.mdpi.com/1099-4300/27/3/284
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