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A High-Precision Two-Stage Legal Judgment Summarization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-32695-0_6openalex-snapshot
Citation Based Summarisation of Legal Texts
inferredcites →https://doi.org/10.1007/s10506-021-09305-4openalex-snapshot
Improving abstractive summarization of legal rulings through textual entailment
inferredcites →https://doi.org/10.1016/j.neucom.2020.02.102openalex-snapshot
A Two-stage Chinese text summarization algorithm using keyword information and adversarial learning
inferredcites →https://doi.org/10.1109/taslp.2021.3124365openalex-snapshot
Pre-Training With Whole Word Masking for Chinese BERT
inferredcites →https://doi.org/10.1609/aaai.v31i1.10958openalex-snapshot
SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents
inferredcites →https://doi.org/10.1613/jair.1523openalex-snapshot
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
inferredcites →https://doi.org/10.18653/v1/d15-1044openalex-snapshot
A Neural Attention Model for Abstractive Sentence Summarization
inferredcites →https://doi.org/10.18653/v1/d18-1088openalex-snapshot
Neural Latent Extractive Document Summarization
inferredcites →https://doi.org/10.18653/v1/d18-1206openalex-snapshot
Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
inferredcites →https://doi.org/10.18653/v1/d19-1006openalex-snapshot
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
inferredcites →https://doi.org/10.18653/v1/d19-1387openalex-snapshot
Text Summarization with Pretrained Encoders
inferredcites →https://doi.org/10.18653/v1/k19-1074openalex-snapshot
Pretraining-Based Natural Language Generation for Text Summarization
inferredcites →https://doi.org/10.18653/v1/n18-2097openalex-snapshot
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
inferredcites →https://doi.org/10.18653/v1/n19-1173openalex-snapshot
Single Document Summarization as Tree Induction
inferredcites →https://doi.org/10.18653/v1/p17-1099openalex-snapshot
Get To The Point: Summarization with Pointer-Generator Networks
inferredcites →https://doi.org/10.18653/v1/p18-1008openalex-snapshot
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
inferredcites →https://doi.org/10.18653/v1/p19-1452openalex-snapshot
BERT Rediscovers the Classical NLP Pipeline
inferredcites →https://doi.org/10.18653/v1/p19-1499openalex-snapshot
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3390/app9214701openalex-snapshot
A Text Abstraction Summary Model Based on BERT Word Embedding and Reinforcement Learning
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.48550/arxiv.1905.03197openalex-snapshot
Unified Language Model Pre-training for Natural Language Understanding and Generation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.70947openalex-snapshot
Structure‐Prior Guided Legal Judgment Summarization: Chain‐of‐Thought and Attention Backtracking
inferred← citeshttps://doi.org/10.1007/978-3-031-54256-5_24openalex-snapshot
LegalSum: Towards Tool for Evaluation for Extractive Summarization of Brazilian Lawsuits
inferred← citeshttps://doi.org/10.1007/978-3-031-70242-6_10openalex-snapshot
ECR: An Expertise-Enriched Conclude-Then-Refine Summarization Framework for Professional Articles
inferred← citeshttps://doi.org/10.1007/978-981-96-2724-0_32openalex-snapshot
Automated Judgment Summarization of Legal Documents with Machine Learning
inferred← citeshttps://doi.org/10.1007/s10506-025-09435-zopenalex-snapshot
Summarizing judicial documents: a hybrid extractive- abstractive model with legal domain knowledge
inferred← citeshttps://doi.org/10.1051/epjconf/202532801043openalex-snapshot
Indian Legal Judgment Summarization using LEGAL-BERT and BiLSTM model with Adaptive Length
inferred← citeshttps://doi.org/10.1109/access.2025.3556725openalex-snapshot
Summarization, Prediction, and Analysis of Turkish Constitutional Court Decisions With Explainable Artificial Intelligence and a Hybrid Natural Language Processing Method
inferred← citeshttps://doi.org/10.1109/aibthings63359.2024.10863047openalex-snapshot
Vectorizing Judicial Texts: A Novel Approach for Analysing POCSO Judgments using Text Embeddings and Transformers
inferred← citeshttps://doi.org/10.1109/i3ctcon68242.2026.11507355openalex-snapshot
Hybrid GRU-Based Pointer-Generator Model for Legal Clause-Level Summarization
inferred← citeshttps://doi.org/10.1109/icbiti65527.2025.11501124openalex-snapshot
Legal Text Generation Using Transformer Models for Contract Drafting
inferred← citeshttps://doi.org/10.1109/icces63552.2024.10860267openalex-snapshot
Unlocking Potential of Deep Learning: A Comprehensive Analysis of Legal Case Document Summarization
inferred← citeshttps://doi.org/10.1109/icicnct66124.2025.11232853openalex-snapshot
Explainable AI Techniques for English Legal Document Summarization with Multi-Level Contextual and Causal Reasoning
inferred← citeshttps://doi.org/10.1109/icoact63339.2025.11004791openalex-snapshot
Revolutionizing Legal Workflows: Advanced AI Techniques for Document Summarization, Legal Translation, and Conversational Assistance
inferred← citeshttps://doi.org/10.1109/ictai59109.2023.00134openalex-snapshot
A Legal News Summarisation Model Based on RoBERTa, T5 and Dilated Gated CNN
inferred← citeshttps://doi.org/10.1109/ietacs68750.2025.11385488openalex-snapshot
A Hybrid Summarization Approach to Legal Document Analysis
inferred← citeshttps://doi.org/10.1145/3776586openalex-snapshot
A Comprehensive Survey on Legal Summarization: Challenges and Future Directions
inferred← citeshttps://doi.org/10.3390/app15105434openalex-snapshot
Deep Learning-Based Automatic Summarization of Chinese Maritime Judgment Documents
inferred← citeshttps://doi.org/10.3390/info14090472openalex-snapshot
Graph-Based Extractive Text Summarization Sentence Scoring Scheme for Big Data Applications
inferred← citeshttps://doi.org/10.5753/jbcs.2025.5786openalex-snapshot
Long-Text Abstractive Summarization using Transformer Models: A Systematic Review
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