{"total":38,"rows":[{"id":"2105.13562","title":"ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation","created":"2021-05-28","cited_by_count":78,"area":null},{"id":"2209.06049","title":"Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law","created":"2022-09-13","cited_by_count":39,"area":null},{"id":"2305.04417","title":"Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts","created":"2023-05-08","cited_by_count":33,"area":null},{"id":"2112.01836","title":"Semantic Segmentation of Legal Documents via Rhetorical Roles","created":"2021-12-03","cited_by_count":26,"area":null},{"id":"2201.13125","title":"Corpus for Automatic Structuring of Legal Documents","created":"2022-01-31","cited_by_count":25,"area":null},{"id":"2106.15876","title":"Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents","created":"2021-06-30","cited_by_count":23,"area":null},{"id":"2112.14731","title":"LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents","created":"2021-12-29","cited_by_count":23,"area":null},{"id":"2112.07882","title":"Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains","created":"2021-12-15","cited_by_count":11,"area":null},{"id":"2311.13350","title":"Fact-based Court Judgment Prediction","created":"2023-11-22","cited_by_count":10,"area":null},{"id":"2112.11494","title":"Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents","created":"2021-12-21","cited_by_count":9,"area":null},{"id":"2210.12437","title":"Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance","created":"2022-10-22","cited_by_count":9,"area":null},{"id":"2310.11049","title":"Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation","created":"2023-10-17","cited_by_count":9,"area":null},{"id":"2502.05836","title":"LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification","created":"2025-02-09","cited_by_count":8,"area":null},{"id":"2304.09548","title":"SemEval 2023 Task 6: LegalEval - Understanding Legal Texts","created":"2023-04-19","cited_by_count":7,"area":null},{"id":"2110.01188","title":"LawSum: A weakly supervised approach for Indian Legal Document Summarization","created":"2021-10-04","cited_by_count":6,"area":null},{"id":"2409.18647","title":"HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents","created":"2024-09-27","cited_by_count":6,"area":null},{"id":"2112.07870","title":"Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data","created":"2021-12-15","cited_by_count":5,"area":null},{"id":"2303.12135","title":"Understand Legal Documents with Contextualized Large Language Models","created":"2023-03-21","cited_by_count":5,"area":null},{"id":"2404.01344","title":"Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents","created":"2024-03-31","cited_by_count":5,"area":null},{"id":"2107.06056","title":"Indian Legal NLP Benchmarks : A Survey","created":"2021-07-13","cited_by_count":3,"area":null},{"id":"2302.06448","title":"Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents","created":"2023-02-13","cited_by_count":3,"area":null},{"id":"2201.06653","title":"Data-Centric Machine Learning in the Legal Domain","created":"2022-01-17","cited_by_count":2,"area":null},{"id":"2310.05276","title":"Enhancing Pre-Trained Language Models with Sentence Position Embeddings for Rhetorical Roles Recognition in Legal Opinions","created":"2023-10-08","cited_by_count":2,"area":null},{"id":"2503.10659","title":"MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents","created":"2025-03-08","cited_by_count":2,"area":null},{"id":"2210.13635","title":"Toward an Intelligent Tutoring System for Argument Mining in Legal Texts","created":"2022-10-24","cited_by_count":1,"area":null},{"id":"2310.05680","title":"Automated Argument Generation from Legal Facts","created":"2023-10-09","cited_by_count":1,"area":null},{"id":"2504.04737","title":"TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context","created":"2025-04-07","cited_by_count":1,"area":null},{"id":"2508.00679","title":"Segment First, Retrieve Better: Realistic Legal Search via Rhetorical Role-Based Queries","created":"2025-08-01","cited_by_count":1,"area":null},{"id":"2603.22765","title":"DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona","created":"2026-03-24","cited_by_count":1,"area":null},{"id":"2202.02639","title":"Classification on Sentence Embeddings for Legal Assistance","created":"2022-02-05","cited_by_count":0,"area":null},{"id":"2305.05302","title":"The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence","created":"2023-05-09","cited_by_count":0,"area":null},{"id":"2504.03486","title":"Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej","created":"2025-04-04","cited_by_count":0,"area":null},{"id":"2511.05320","title":"What Are the Facts? Automated Extraction of Court-Established Facts from Criminal-Court Opinions","created":"2025-11-07","cited_by_count":0,"area":null},{"id":"2602.18346","title":"Vichara: Appellate Judgment Prediction and Explanation for the Indian Judicial System","created":"2026-02-20","cited_by_count":0,"area":null},{"id":"2606.06679","title":"HKJudge: A Legal Discourse-Annotated Corpus for Interpreting What Courts Find, How They Reason, and What They Rule","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2607.09094","title":"PRecG: Legal Precedent Retrieval with Graph Neural Networks and Rhetorical Role Segmentation","created":"2026-07-10","cited_by_count":0,"area":null},{"id":"2607.27792","title":"Annotating Topical Legal Insights from Case Proceedings","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2609.25441","title":"Mining Legal Arguments in U.S. Corporate Case Law","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}