Automated Attribute Extraction from Legal Proceedings
The escalating number of pending cases is a growing concern world-wide. Recent advancements in digitization have opened up possibilities for leveraging artificial intelligence (AI) tools in the processing of legal documents. Adopting a structured representation for legal documents, as opposed to a mere bag-of-words flat text representation, can significantly enhance processing capabilities. With the aim of achieving this objective, we put forward a set of diverse attributes for criminal case proceedings. We use a state-of-the-art sequence labeling framework to automatically extract attributes from the legal documents. Moreover, we demonstrate the efficacy of the extracted attributes in a downstream task, namely legal judgment prediction.
Code (0)
등록된 구현이 없습니다.
Tasks
AttributeAttribute ExtractionMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
An Evaluation Framework for Legal Document Summarization
A law practitioner has to go through numerous lengthy legal case proceedings for their practices of various categories, such as land dispute, corruption, etc. Hence, it is important to summarize these documents, and ensu…
Document SummarizationLegal Document SummarizationFineREX: Fine-Tuned NER-RE for Human Smuggling Knowledge Graphs
Court proceedings contain valuable evidence about human smuggling networks, but this information is often buried within unstructured, jargon-heavy legal documents. While large language models (LLMs) can support knowledge…
Information ExtractionKnowledge GraphsPredicting Legal Proceedings Status: Approaches Based on Sequential Text Data
The objective of this paper is to develop predictive models to classify Brazilian legal proceedings in three possible classes of status: (i) archived proceedings, (ii) active proceedings, and (iii) suspended proceedings.…
BIG-bench Machine LearningGeneral ClassificationProceedings of the Workshop on Automated Extraction of Socio-political Events from News 2020
Annotating Topical Legal Insights from Case Proceedings
In this paper, we mainly concentrate on finding concepts or topics from the legal case proceedings, since adopting a structured representation for legal documents, as opposed to a mere bag-of-words flat text representati…