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Document Classification
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Document Classification is a procedure of assigning one or more labels to a document from a predetermined set of labels.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Text Chunking for Document Classification for Urban System Management using Large Language Models
Evaluating Negative Sampling Approaches for Neural Topic Models
Converting Transformers into DGNNs Form
Cross-Entropy Attacks to Language Models via Rare Event Simulation
On Importance of Layer Pruning for Smaller BERT Models and Low Resource Languages
Data-Driven Self-Supervised Graph Representation Learning
Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning
Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models
Label Errors in the Tobacco3482 Dataset
WordVIS: A Color Worth A Thousand Words
Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale?
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning
Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts
Clustering Algorithms and RAG Enhancing Semi-Supervised Text Classification with Large LLMs
Weakly-supervised diagnosis identification from Italian discharge letters
Medical-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data
ChuLo: Chunk-Level Key Information Representation for Long Document Processing
Text Classification using Graph Convolutional Networks: A Comprehensive Survey
Orthogonal Nonnegative Matrix Factorization with the Kullback-Leibler divergence
Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes
Manual Verbalizer Enrichment for Few-Shot Text Classification
Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification
Document Type Classification using File Names
FLAG: Financial Long Document Classification via AMR-based GNN
On Importance of Pruning and Distillation for Efficient Low Resource NLP
SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization
Large Language Models for Page Stream Segmentation
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification
AutoML-guided Fusion of Entity and LLM-based Representations for Document Classification
Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification
Prompting Encoder Models for Zero-Shot Classification: A Cross-Domain Study in Italian
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry
Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine
Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification
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