Cover Image

A Hierarchical Neural Framework for Classification and its Explanation in Large Unstructured Legal Documents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Prasad, Nishchal, Boughanem, Mohand, Dkaki, Taoufik
Format:	Preprint
Published:	2023
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring Large Language Models and Hierarchical Frameworks for Classification of Large Unstructured Legal Documents
by: Prasad, Nishchal, et al.
Published: (2024)

Dynamic Context Selection for Retrieval-Augmented Generation: Mitigating Distractors and Positional Bias
by: Iratni, Malika, et al.
Published: (2025)

LegalPro-BERT: Classification of Legal Provisions by fine-tuning BERT Large Language Model
by: Tewari, Amit
Published: (2024)

Hierarchical Query Classification in E-commerce Search
by: He, Bing, et al.
Published: (2024)

Hierarchical Uncertainty-Aware Graph Neural Network
by: Choi, Yoonhyuk, et al.
Published: (2025)

Multimodal RAG for Unstructured Data:Leveraging Modality-Aware Knowledge Graphs with Hybrid Retrieval
by: R, Rashmi, et al.
Published: (2025)

Hierarchical Group-wise Ranking Framework for Recommendation Models
by: Yan, YaChen, et al.
Published: (2025)

GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
by: Lu, Hsiao-Ying, et al.
Published: (2024)

Plausible Counterfactual Explanations of Recommendations
by: Černý, Jakub, et al.
Published: (2025)

TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context
by: Nigam, Shubham Kumar, et al.
Published: (2025)

Robust Generalizable Heterogeneous Legal Link Prediction
by: Wendlinger, Lorenz, et al.
Published: (2026)

A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization
by: Tan, Shiyin, et al.
Published: (2025)

GLARE: Guided LexRank for Advanced Retrieval in Legal Analysis
by: Gregório, Fabio, et al.
Published: (2024)

LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification
by: Nigam, Shubham Kumar, et al.
Published: (2025)

LawLLM: Law Large Language Model for the US Legal System
by: Shu, Dong, et al.
Published: (2024)

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems
by: Nguyen, Quang-Huy, et al.
Published: (2026)

Shielded RecRL: Explanation Generation for Recommender Systems without Ranking Degradation
by: Tiwari, Ansh, et al.
Published: (2025)

Ontology-Guided Query Expansion for Biomedical Document Retrieval using Large Language Models
by: Nazi, Zabir Al, et al.
Published: (2025)

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval
by: Kabir, Muhammad Rafsan, et al.
Published: (2025)

Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
by: Zhao, Ziwen, et al.
Published: (2026)

Large Language Model in Medical Informatics: Direct Classification and Enhanced Text Representations for Automatic ICD Coding
by: Boukhers, Zeyd, et al.
Published: (2024)

Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements
by: Zhao, Jiahui, et al.
Published: (2024)

RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
by: Su, Shuo, et al.
Published: (2024)

Cross-Platform E-Commerce Product Categorization and Recategorization: A Multimodal Hierarchical Classification Approach
by: Gross, Lotte, et al.
Published: (2025)

Hierarchical thematic classification of major conference proceedings
by: Kuzmin, Arsentii, et al.
Published: (2024)

HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
by: Elsayed, Shereen, et al.
Published: (2024)

Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
by: Yuan, Xu, et al.
Published: (2022)

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers
by: Dong, Yue, et al.
Published: (2025)

Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing
by: Martinico, Silvio, et al.
Published: (2026)

Introducing Three New Benchmark Datasets for Hierarchical Text Classification
by: Toit, Jaco du, et al.
Published: (2024)

The Factuality of Large Language Models in the Legal Domain
by: Hamdani, Rajaa El, et al.
Published: (2024)

EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval
by: Kumar, Ramnath, et al.
Published: (2023)

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval
by: Gupta, Nilesh, et al.
Published: (2025)

IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
by: Oh, Sejoon, et al.
Published: (2024)

Graph Regularized Encoder Training for Extreme Classification
by: Mittal, Anshul, et al.
Published: (2024)

Challenges and Considerations in Annotating Legal Data: A Comprehensive Overview
by: Darji, Harshil, et al.
Published: (2024)

The Oracle and The Prism: A Decoupled and Efficient Framework for Generative Recommendation Explanation
by: Zhang, Jiaheng, et al.
Published: (2025)

Hybrid-Hierarchical Fashion Graph Attention Network for Compatibility-Oriented and Personalized Outfit Recommendation
by: Saed, Sajjad, et al.
Published: (2025)

On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification
by: Prakash, Jatin, et al.
Published: (2024)

Error Bounds of Supervised Classification from Information-Theoretic Perspective
by: Qi, Binchuan
Published: (2024)