Copertina

TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Yu, Kang, Zhao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

Knowledge-Driven Cross-Document Relation Extraction
di: Jain, Monika, et al.
Pubblicazione: (2024)

Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation
di: Alam, Fahmida, et al.
Pubblicazione: (2024)

Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
di: Liu, Siyi, et al.
Pubblicazione: (2024)

Few-Shot Query Intent Detection via Relation-Aware Prompt Learning
di: Zhang, Liang, et al.
Pubblicazione: (2025)

DocGraphLM: Documental Graph Language Model for Information Extraction
di: Wang, Dongsheng, et al.
Pubblicazione: (2024)

DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction
di: Wu, Yiheng, et al.
Pubblicazione: (2024)

Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning
di: Ziletti, Angelo, et al.
Pubblicazione: (2022)

Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction
di: Trieu, Hoang-An, et al.
Pubblicazione: (2025)

FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
di: Tang, Yongjian, et al.
Pubblicazione: (2024)

Peeking inside the Black-Box: Reinforcement Learning for Explainable and Accurate Relation Extraction
di: Guo, Xinyu, et al.
Pubblicazione: (2025)

Utilizing Contextual Clues and Role Correlations for Enhancing Document-level Event Argument Extraction
di: Liu, Wanlong, et al.
Pubblicazione: (2023)

OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment
di: Xie, Xiangjin, et al.
Pubblicazione: (2025)

Retrieval over Classification: Integrating Relation Semantics for Multimodal Relation Extraction
di: Hei, Lei, et al.
Pubblicazione: (2025)

Document-Level Event Extraction with Definition-Driven ICL
di: Liu, Zhuoyuan, et al.
Pubblicazione: (2024)

Information Extraction From Fiscal Documents Using LLMs
di: Aggarwal, Vikram, et al.
Pubblicazione: (2025)

An Information Retrieval and Extraction Tool for Covid-19 Related Papers
di: Pivetta, Marcos V. L.
Pubblicazione: (2024)

Multi-Relation Extraction in Entity Pairs using Global Context
di: Nilesh, et al.
Pubblicazione: (2025)

GDLLM: A Global Distance-aware Modeling Approach Based on Large Language Models for Event Temporal Relation Extraction
di: Zhao, Jie, et al.
Pubblicazione: (2025)

Applying Relation Extraction and Graph Matching to Answering Multiple Choice Questions
di: Shimoda, Naoki, et al.
Pubblicazione: (2025)

Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model
di: Sinhababu, Nilanjan, et al.
Pubblicazione: (2024)

Entity Extraction from High-Level Corruption Schemes via Large Language Models
di: Koletsis, Panagiotis, et al.
Pubblicazione: (2024)

Large Language Models for Few-Shot Named Entity Recognition
di: Zhao, Yufei, et al.
Pubblicazione: (2018)

ZeQR: Zero-shot Query Reformulation for Conversational Search
di: Yang, Dayu, et al.
Pubblicazione: (2023)

Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings
di: Ma, Yubo, et al.
Pubblicazione: (2025)

TCMIIES: A Browser-Based LLM-Powered Intelligent Information Extraction System for Academic Literature
di: Zhao, Hanqing
Pubblicazione: (2026)

From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
di: Košprdić, Miloš, et al.
Pubblicazione: (2023)

Recall Them All: Retrieval-Augmented Language Models for Long Object List Extraction from Long Documents
di: Singhania, Sneha, et al.
Pubblicazione: (2024)

ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification
di: Zhang, Shijia, et al.
Pubblicazione: (2025)

Robustness of Structured Data Extraction from In-plane Rotated Documents using Multi-Modal Large Language Models (LLM)
di: Biswas, Anjanava, et al.
Pubblicazione: (2024)

A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction
di: Ying, Huaiyuan, et al.
Pubblicazione: (2024)

GORAG: Graph-based Online Retrieval Augmented Generation for Dynamic Few-shot Social Media Text Classification
di: Wang, Yubo, et al.
Pubblicazione: (2025)

Taggus: An Automated Pipeline for the Extraction of Characters' Social Networks from Portuguese Fiction Literature
di: Canário, Tiago G, et al.
Pubblicazione: (2025)

Comparative Analysis of Document-Level Embedding Methods for Similarity Scoring on Shakespeare Sonnets and Taylor Swift Lyrics
di: Kramer, Klara
Pubblicazione: (2024)

KSW: Khmer Stop Word based Dictionary for Keyword Extraction
di: Thuon, Nimol, et al.
Pubblicazione: (2024)

The Effects of Hallucinations in Synthetic Training Data for Relation Extraction
di: Rogulsky, Steven, et al.
Pubblicazione: (2024)

Analyzing the Influence of Knowledge Graph Information on Relation Extraction
di: Möller, Cedric, et al.
Pubblicazione: (2025)

Clinical Document Metadata Extraction: A Scoping Review
di: Miller, Kurt, et al.
Pubblicazione: (2025)

A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents
di: Mullick, Ankan, et al.
Pubblicazione: (2024)