Imagen de Portada

Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Luo, Da, Gan, Yanglei, Hou, Rui, Lin, Run, Liu, Qiao, Cai, Yuxiang, Gao, Wannian
Formato:	Preprint
Publicado:	2023
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation
por: Gan, Yanglei, et al.
Publicado: (2026)

Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning
por: Borchert, Philipp, et al.
Publicado: (2024)

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models
por: Liu, Ye, et al.
Publicado: (2024)

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training
por: Guo, Quanjiang, et al.
Publicado: (2025)

Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
por: Ma, Shengkun, et al.
Publicado: (2024)

Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
por: Ozyurt, Yilmazcan, et al.
Publicado: (2023)

Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model
por: Yuan, Li, et al.
Publicado: (2024)

Label-template based Few-Shot Text Classification with Contrastive Learning
por: Hou, Guanghua, et al.
Publicado: (2024)

DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis
por: Long, Shu, et al.
Publicado: (2026)

LLM-based MOFs Synthesis Condition Extraction using Few-Shot Demonstrations
por: Shi, Lei, et al.
Publicado: (2024)

Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
por: Qiao, Qiao, et al.
Publicado: (2023)

Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis?
por: Maity, Subhankar, et al.
Publicado: (2025)

A Few-Shot Approach for Relation Extraction Domain Adaptation using Large Language Models
por: Zavarella, Vanni, et al.
Publicado: (2024)

Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes
por: Liu, Yuxiang, et al.
Publicado: (2026)

Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction
por: Gedeon, Máté
Publicado: (2025)

FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
por: He, Peng, et al.
Publicado: (2026)

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction
por: Duan, Jiaxin, et al.
Publicado: (2025)

Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning
por: Zhang, Tao, et al.
Publicado: (2024)

Doc2SAR: A Synergistic Framework for High-Fidelity Extraction of Structure-Activity Relationships from Scientific Documents
por: Zhuang, Jiaxi, et al.
Publicado: (2025)

Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation
por: He, Peng, et al.
Publicado: (2025)

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
por: Liu, Shuliang, et al.
Publicado: (2022)

Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
por: Tang, Lei, et al.
Publicado: (2025)

Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction
por: Burdisso, Sergio, et al.
Publicado: (2024)

Meta-Semantics Augmented Few-Shot Relational Learning
por: Wu, Han, et al.
Publicado: (2025)

Preserving Generalization of Language models in Few-shot Continual Relation Extraction
por: Tran, Quyen, et al.
Publicado: (2024)

Mask-guided BERT for Few Shot Text Classification
por: Liao, Wenxiong, et al.
Publicado: (2023)

Few-Shot, No Problem: Descriptive Continual Relation Extraction
por: Thanh, Nguyen Xuan, et al.
Publicado: (2025)

Efficient Data Learning for Open Information Extraction with Pre-trained Language Models
por: Fan, Zhiyuan, et al.
Publicado: (2023)

Few-shot Continual Relation Extraction via Open Information Extraction
por: Nguyen, Thiem, et al.
Publicado: (2025)

GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes
por: Zhou, Guanyu, et al.
Publicado: (2026)

DiffuTraj: A Stochastic Vessel Trajectory Prediction Approach via Guided Diffusion Process
por: Li, Changlin, et al.
Publicado: (2024)

Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction
por: Wang, Xiaokai, et al.
Publicado: (2025)

PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models
por: Ranaldi, Leonardo, et al.
Publicado: (2023)

PLHF: Prompt Optimization with Few-Shot Human Feedback
por: Yang, Chun-Pai, et al.
Publicado: (2025)

Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
por: Wang, Yuxiang, et al.
Publicado: (2025)

Adaptive Layer-skipping in Pre-trained LLMs
por: Luo, Xuan, et al.
Publicado: (2025)

Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction
por: Li, Shilong, et al.
Publicado: (2024)

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
por: Li, Guozheng, et al.
Publicado: (2024)

Pre-trained Large Language Models for Financial Sentiment Analysis
por: Luo, Wei, et al.
Publicado: (2024)

GLiREL -- Generalist Model for Zero-Shot Relation Extraction
por: Boylan, Jack, et al.
Publicado: (2025)