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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents
by: Zhen Zhang, et al.
Published: (2018-01-01)

Dynamic Split Computing Framework for Multi-Task Learning Models: A Deep Reinforcement Learning Approach
by: Haneul Ko, et al.
Published: (2025-01-01)

Reinforcement Learning-Based Safe Path Planning for a 3R Planar Robot
by: Mustafa Can Bingol
Published: (2022-02-01)

Reinforcement Learning with Multi-Policy Movement Strategy for Weakly Supervised Temporal Sentence Grounding
by: Shan Jiang, et al.
Published: (2024-10-01)

Multi-Satellite Task Parallelism via Priority-Aware Decomposition and Dynamic Resource Mapping
by: Shangpeng Wang, et al.
Published: (2025-04-01)

Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing
by: Sudheer Mangalampalli, et al.
Published: (2024-01-01)

Control strategy of robotic manipulator based on multi-task reinforcement learning
by: Tao Wang, et al.
Published: (2025-02-01)

Deep reinforcement learning based resource provisioning for federated edge learning
by: Xingyun Chen, et al.
Published: (2025-06-01)

Multi-Task Sequence Tagging for Denoised Causal Relation Extraction
by: Yijia Zhang, et al.
Published: (2025-05-01)

A Generative Adversarial Network-Based Extractive Text Summarization Using Transductive and Reinforcement Learning
by: Jing Yang, et al.
Published: (2025-01-01)

Continual deep reinforcement learning with task-agnostic policy distillation
by: Muhammad Burhan Hafez, et al.
Published: (2024-12-01)

A Multi-Task Dynamic Weight Optimization Framework Based on Deep Reinforcement Learning
by: Lingpei Mao, et al.
Published: (2025-02-01)

Distributed Unmanned Aerial Vehicle Cluster Testing Method Based on Deep Reinforcement Learning
by: Dong Li, et al.
Published: (2024-12-01)

Adapting language generation to dialogue environments and users for task-oriented dialogue systems
by: Atsumoto Ohashi, et al.
Published: (2025-06-01)

Rough-Terrain Path Planning Based on Deep Reinforcement Learning
by: Yufeng Yang, et al.
Published: (2025-05-01)

Model-Based AUV Path Planning Using Curriculum Learning and Deep Reinforcement Learning on a Simplified Electronic Navigation Chart
by: Łukasz Marchel, et al.
Published: (2025-05-01)

Research on Mobile Agent Path Planning Based on Deep Reinforcement Learning
by: Shengwei Jin, et al.
Published: (2025-05-01)

Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data
by: Qiuping Li, et al.
Published: (2025-04-01)

Human and environmental feature-driven neural network for path-constrained robot navigation using deep reinforcement learning
by: Nabih Pico, et al.
Published: (2025-04-01)

Research on Path-Following Technology of a Single-Outboard-Motor Unmanned Surface Vehicle Based on Deep Reinforcement Learning and Model Predictive Control Algorithm
by: Bin Cui, et al.
Published: (2024-12-01)

Evaluating Task Optimization and Reinforcement Learning Models in Robotic Task Parameterization
by: Michele Delledonne, et al.
Published: (2024-01-01)

ProLinker–Generator: Design of a PROTAC Linker Base on a Generation Model Using Transfer and Reinforcement Learning
by: Yanlin Luo, et al.
Published: (2025-05-01)

Deep reinforcement learning for integrated vessel path planning with safe anchorage allocation
by: Gil-Ho Shin, et al.
Published: (2025-01-01)

Lightweight multi-stage temporal inference network for video crowd counting
by: Wei Gao, et al.
Published: (2024-11-01)

Reinforcement Learning-Driven Task Offloading and Resource Allocation in Wireless IoT Networks
by: Zahraa Hashim Kareem, et al.
Published: (2025-01-01)

Deep Reinforcement Learning-Assisted Teaching Strategy for Industrial Robot Manipulator
by: János Simon, et al.
Published: (2024-11-01)

Multi-Task Reinforcement Learning Based on Parallel Recombination Networks
by: Manlu Liu, et al.
Published: (2025-01-01)

Applications of Multi-Robotic Arms to Assist Agricultural Production: A Review
by: Xiaojian Gai, et al.
Published: (2025-06-01)

Hybrid Machine Learning and Reinforcement Learning Framework for Adaptive UAV Obstacle Avoidance
by: Wojciech Skarka, et al.
Published: (2024-10-01)

Hybrid Supervised and Reinforcement Learning for Motion-Sickness-Aware Path Tracking in Autonomous Vehicles
by: Yukang Lv, et al.
Published: (2025-06-01)

Path Planning for Robots Combined with Zero-Shot and Hierarchical Reinforcement Learning in Novel Environments
by: Liwei Mei, et al.
Published: (2024-11-01)

A dual scheduling framework for task and resource allocation in clouds using deep reinforcement learning
by: Jiahui Pan, et al.
Published: (2025-06-01)

TPVis: A Temporal Path Visualization System for Intuitive Understanding of Information Diffusion Inside Temporal Networks
by: Jincheol Oh, et al.
Published: (2025-01-01)

Reinforcement-Learning-Based Edge Offloading Orchestration in Computing Continuum
by: Ioana Ramona Martin, et al.
Published: (2024-11-01)

Event Type and Relationship Extraction Based on Dependent Syntactic Semantic Augmented Graph Networks
by: Min Zuo, et al.
Published: (2025-01-01)

Reinforced Cost-Sensitive Graph Network for Detecting Fraud Leaders in Telecom Fraud
by: Peiwen Gao, et al.
Published: (2024-01-01)

Pedagogical design of a digital teaching assistant in massive professional training for the digital economy
by: E. G. Andrianova, et al.
Published: (2022-06-01)

RelayGAN: Sequential knowledge propagation for sustainable multi-generation
by: Namkyung Yoon, et al.
Published: (2025-09-01)

Noise-Aware UAV Path Planning in Urban Environment with Reinforcement Learning
by: Shahin Sarhan, et al.
Published: (2025-03-01)

Linker-GPT: design of Antibody-drug conjugates linkers with molecular generators and reinforcement learning
by: An Su, et al.
Published: (2025-07-01)