NSTL国家科技图书文献中心

1. Incorporating Domain Knowledge in Multi-objective Optimization Framework for Automating Indian Legal Case Summarization NSTL国家科技图书文献中心

Shreya Goswami | Naveen Saini ... - 《Pattern Recognition,Part XIX》 - International Conference on Pattern Recognition - 2025, - 265～280 - 共16页

摘要： algorithm for generating legal* document summaries. For* | Legal cases can be lengthy and complex, often | containing much information, evidence, and legal* arguments* | . On the contrary, attorneys, judges, and legal | , make decisions, or conduct legal* research*

关键词： Legal document | Summarization | Multi-objective optimization | Evolutionary algorithm | Domain knowledge

2. Segmentation Model for Judgments of the Portuguese Supreme Court of Justice NSTL国家科技图书文献中心

Martim Zanatti | Ricardo Ribeiro ... - 《Progress in Artificial Intelligence,Part I》 - EPIA Conference on Artificial Intelligence - 2025, - 245～257 - 共13页

摘要：Legal document segmentation is a critical task | of legal* content. Despite its importance, research* | approach to automate the segmentation of legal* judgments* | in the field of natural language processing (NLP | ), enabling efficient analysis, retrieval, and understanding

关键词： Sequence labeling | Legal documents segmentation | Portuguese legal documents | Bi-LSTM-CRF | Dataset creation

3. Contract Clause Extraction Using Question-Answering Task NSTL国家科技图书文献中心

Bajeela Aejas | Abdelhak Belhi ... - 《Web Information Systems Engineering - WISE 2024,Part I》 - International Conference on Web Information Systems Engineering - 2025, - 320～333 - 共14页

摘要： automating and enhancing the accuracy of legal document | Responding to inquiries within the legal* field* | variability of legal* documents. Delivering precise responses* | to legal* questions often requires domain-specific* | important clauses from complex legal* documents. Our*

关键词： Legal AI | Contracts | Question-Answering | NLP

4. Document-to-Document Retrieval Using Self-Retrieval Learning and Automatic Keyword Extraction NSTL国家科技图书文献中心

Yasuaki Seki | Tomoki Hamagami - 《IEEJ Transactions on Electrical and Electronic Engineering》 - 2025,20(1) - 69～76 - 共8页

摘要： performed on the EU and UK legal* document retrieval task* | corpus document* is required as training data, but self* | In this study, we propose self-retrieval | learning, a self-supervised learning method that does not | require an annotated dataset. In self-retrieval learning

关键词： Natural language processing | Document retrieval | DRMM | Self-supervised learning

5. A dual-tier adaptive one-class classification IDS for emerging cyberthreats NSTL国家科技图书文献中心

Uddin M.A. | Aryal S.... - 《Computer communications》 - 2025,229(Jan.) - 1.1～1.19 - 共19页

摘要： personal, enterprise data, and legal* document exchanges* | © 2024 The AuthorsIn today's digital age, our | dependence on IoT (Internet of Things) and IIoT (Industrial | IoT) systems has grown immensely, which facilitates | sensitive activities such as banking transactions and

关键词： Deep learning | IDS | Intrusion detection | IoT | Machine learning | Network traffic

6. Enhanced question understanding for multi-type legal question answering NSTL国家科技图书文献中心

Yin, Yu | Li, Lin ... - 《CCF Transactions on Pervasive Computing and Interaction》 - 2025,7(1) - 15～29 - 共15页

摘要：Multi-type Legal* Question Answering(MLQA) aims* | to automatically respond to legal* questions* | prioritize handling lengthy legal* documents over closely* | } setlength{oddsidemargin}{-69pt} begin{document}$$-$$end | {document}10.4% in EM, with competitive F1 scores.

关键词： Multi-span | Question refining | Legal question answering

7. GovBERT-BR: A BERT-Based Language Model for Brazilian Portuguese Governmental Data NSTL国家科技图书文献中心

Mariana O. Silva | Gabriel P. Oliveira ... - 《Intelligent Systems,Part II》 - Brazilian Conference on Intelligent Systems - 2025, - 19～32 - 共14页

摘要： Portuguese and the legal* and administrative domains has* | suboptimal performance in document* classification and* | Brazilian governmental context, covering legal* and* | legal and bureaucratic terminology prevalent in | GovBERT-BR outperforms existing models in document* and*

关键词： Natural language processing | Brazilian governmental data | Legal texts | BERT | Language models

8. Technical, legal and ethical framework of cancer audit in cervical screening - Summary of best practices for organised programmes delineated through an expert group consultation NSTL国家科技图书文献中心

Chandran, Arunah | Mackie, Anne ... - 《International Journal of Cancer》 - 2025,157(1) - 32～40 - 共9页

摘要： screening programme, the legal* and ethical frameworks* | . Legal* complexities in cervical screening stem from its* | safeguarded. The best practice document* drafted through* | and address associated legal* and ethical issues.* | Efficient and well-organised cervical

关键词： cancer audit | cervical cancer screening | communication | ethics | legal

9. SARA - A Generative AI for Legal Process Summarization Based on Chain of Density Prompt Engineering NSTL国家科技图书文献中心

Francisco das Chagas... | Joao Araujo Monteiro...... - 《Intelligent Systems,Part II》 - Brazilian Conference on Intelligent Systems - 2025, - 370～383 - 共14页

摘要： abstractive and multi-document summarization of legal | of legal* cases during the sentencing phase. This* | summaRization of legal* Actions), an innovative method for* | Generative AI, particularly Large Language | Models (LLMs), holds significant promise for enhancing

关键词： Text summarization | Legal documents | Generative AI | Prompt engineering

10. Blockchain-based entity access control scheme for ubiquitous UAV swarm tasks NSTL国家科技图书文献中心

Hui Xie | Teng He ... - 《Computing》 - 2025,107(1) - 1.1～1.33 - 共33页

摘要： authenticate and confirm the legal* identity of the entity* | } setlength{oddsidemargin}{-69pt} begin{document}$$21.7 | %$$end{document} and 2.8%documentclass[12pt]{minimal | {document}$$2.8%$$end{document}, respectively, compared to | Abstract Distributed ground stations are

摘要： algorithm for generating legal* document summaries. For* | Legal cases can be lengthy and complex, often | containing much information, evidence, and legal* arguments* | . On the contrary, attorneys, judges, and legal | , make decisions, or conduct legal* research*

关键词： Legal document | Summarization | Multi-objective optimization | Evolutionary algorithm | Domain knowledge

摘要：Legal document segmentation is a critical task | of legal* content. Despite its importance, research* | approach to automate the segmentation of legal* judgments* | in the field of natural language processing (NLP | ), enabling efficient analysis, retrieval, and understanding

关键词： Sequence labeling | Legal documents segmentation | Portuguese legal documents | Bi-LSTM-CRF | Dataset creation

摘要： automating and enhancing the accuracy of legal document | Responding to inquiries within the legal* field* | variability of legal* documents. Delivering precise responses* | to legal* questions often requires domain-specific* | important clauses from complex legal* documents. Our*

关键词： Legal AI | Contracts | Question-Answering | NLP

摘要： performed on the EU and UK legal* document retrieval task* | corpus document* is required as training data, but self* | In this study, we propose self-retrieval | learning, a self-supervised learning method that does not | require an annotated dataset. In self-retrieval learning

关键词： Natural language processing | Document retrieval | DRMM | Self-supervised learning

摘要： personal, enterprise data, and legal* document exchanges* | © 2024 The AuthorsIn today's digital age, our | dependence on IoT (Internet of Things) and IIoT (Industrial | IoT) systems has grown immensely, which facilitates | sensitive activities such as banking transactions and

关键词： Deep learning | IDS | Intrusion detection | IoT | Machine learning | Network traffic

摘要：Multi-type Legal* Question Answering(MLQA) aims* | to automatically respond to legal* questions* | prioritize handling lengthy legal* documents over closely* | } setlength{oddsidemargin}{-69pt} begin{document}$$-$$end | {document}10.4% in EM, with competitive F1 scores.

关键词： Multi-span | Question refining | Legal question answering

摘要： Portuguese and the legal* and administrative domains has* | suboptimal performance in document* classification and* | Brazilian governmental context, covering legal* and* | legal and bureaucratic terminology prevalent in | GovBERT-BR outperforms existing models in document* and*

关键词： Natural language processing | Brazilian governmental data | Legal texts | BERT | Language models

摘要： screening programme, the legal* and ethical frameworks* | . Legal* complexities in cervical screening stem from its* | safeguarded. The best practice document* drafted through* | and address associated legal* and ethical issues.* | Efficient and well-organised cervical

关键词： cancer audit | cervical cancer screening | communication | ethics | legal

摘要： abstractive and multi-document summarization of legal | of legal* cases during the sentencing phase. This* | summaRization of legal* Actions), an innovative method for* | Generative AI, particularly Large Language | Models (LLMs), holds significant promise for enhancing

关键词： Text summarization | Legal documents | Generative AI | Prompt engineering

摘要： authenticate and confirm the legal* identity of the entity* | } setlength{oddsidemargin}{-69pt} begin{document}$$21.7 | %$$end{document} and 2.8%documentclass[12pt]{minimal | {document}$$2.8%$$end{document}, respectively, compared to | Abstract Distributed ground stations are

关键词： 68

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： algorithm for generating legal document summaries. For | Legal cases can be lengthy and complex, often | containing much information, evidence, and legal arguments | . On the contrary, attorneys, judges, and legal | , make decisions, or conduct legal research

关键词： Legal document | Summarization | Multi-objective optimization | Evolutionary algorithm | Domain knowledge

摘要：Legal document segmentation is a critical task | of legal content. Despite its importance, research | approach to automate the segmentation of legal judgments | in the field of natural language processing (NLP | ), enabling efficient analysis, retrieval, and understanding

关键词： Sequence labeling | Legal documents segmentation | Portuguese legal documents | Bi-LSTM-CRF | Dataset creation

摘要： automating and enhancing the accuracy of legal document | Responding to inquiries within the legal field | variability of legal documents. Delivering precise responses | to legal questions often requires domain-specific | important clauses from complex legal documents. Our

关键词： Legal AI | Contracts | Question-Answering | NLP

摘要： performed on the EU and UK legal document retrieval task | corpus document is required as training data, but self | In this study, we propose self-retrieval | learning, a self-supervised learning method that does not | require an annotated dataset. In self-retrieval learning

关键词： Natural language processing | Document retrieval | DRMM | Self-supervised learning

摘要： personal, enterprise data, and legal document exchanges | © 2024 The AuthorsIn today's digital age, our | dependence on IoT (Internet of Things) and IIoT (Industrial | IoT) systems has grown immensely, which facilitates | sensitive activities such as banking transactions and

关键词： Deep learning | IDS | Intrusion detection | IoT | Machine learning | Network traffic

摘要：Multi-type Legal Question Answering(MLQA) aims | to automatically respond to legal questions | prioritize handling lengthy legal documents over closely | } setlength{oddsidemargin}{-69pt} begin{document}$$-$$end | {document}10.4% in EM, with competitive F1 scores.

关键词： Multi-span | Question refining | Legal question answering

摘要： Portuguese and the legal and administrative domains has | suboptimal performance in document classification and | Brazilian governmental context, covering legal and | legal and bureaucratic terminology prevalent in | GovBERT-BR outperforms existing models in document and

关键词： Natural language processing | Brazilian governmental data | Legal texts | BERT | Language models

摘要： screening programme, the legal and ethical frameworks | . Legal complexities in cervical screening stem from its | safeguarded. The best practice document drafted through | and address associated legal and ethical issues. | Efficient and well-organised cervical

关键词： cancer audit | cervical cancer screening | communication | ethics | legal

摘要： abstractive and multi-document summarization of legal | of legal cases during the sentencing phase. This | summaRization of legal Actions), an innovative method for | Generative AI, particularly Large Language | Models (LLMs), holds significant promise for enhancing

关键词： Text summarization | Legal documents | Generative AI | Prompt engineering

摘要： authenticate and confirm the legal identity of the entity | } setlength{oddsidemargin}{-69pt} begin{document}$$21.7 | %$$end{document} and 2.8%documentclass[12pt]{minimal | {document}$$2.8%$$end{document}, respectively, compared to | Abstract Distributed ground stations are

关键词： 68

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： algorithm for generating legal* document summaries. For* | Legal cases can be lengthy and complex, often | containing much information, evidence, and legal* arguments* | . On the contrary, attorneys, judges, and legal | , make decisions, or conduct legal* research*

摘要：Legal document segmentation is a critical task | of legal* content. Despite its importance, research* | approach to automate the segmentation of legal* judgments* | in the field of natural language processing (NLP | ), enabling efficient analysis, retrieval, and understanding

摘要： automating and enhancing the accuracy of legal document | Responding to inquiries within the legal* field* | variability of legal* documents. Delivering precise responses* | to legal* questions often requires domain-specific* | important clauses from complex legal* documents. Our*

摘要： performed on the EU and UK legal* document retrieval task* | corpus document* is required as training data, but self* | In this study, we propose self-retrieval | learning, a self-supervised learning method that does not | require an annotated dataset. In self-retrieval learning

摘要： personal, enterprise data, and legal* document exchanges* | © 2024 The AuthorsIn today's digital age, our | dependence on IoT (Internet of Things) and IIoT (Industrial | IoT) systems has grown immensely, which facilitates | sensitive activities such as banking transactions and

摘要：Multi-type Legal* Question Answering(MLQA) aims* | to automatically respond to legal* questions* | prioritize handling lengthy legal* documents over closely* | } setlength{oddsidemargin}{-69pt} begin{document}$$-$$end | {document}10.4% in EM, with competitive F1 scores.

摘要： Portuguese and the legal* and administrative domains has* | suboptimal performance in document* classification and* | Brazilian governmental context, covering legal* and* | legal and bureaucratic terminology prevalent in | GovBERT-BR outperforms existing models in document* and*

摘要： screening programme, the legal* and ethical frameworks* | . Legal* complexities in cervical screening stem from its* | safeguarded. The best practice document* drafted through* | and address associated legal* and ethical issues.* | Efficient and well-organised cervical

摘要： abstractive and multi-document summarization of legal | of legal* cases during the sentencing phase. This* | summaRization of legal* Actions), an innovative method for* | Generative AI, particularly Large Language | Models (LLMs), holds significant promise for enhancing

摘要： authenticate and confirm the legal* identity of the entity* | } setlength{oddsidemargin}{-69pt} begin{document}$$21.7 | %$$end{document} and 2.8%documentclass[12pt]{minimal | {document}$$2.8%$$end{document}, respectively, compared to | Abstract Distributed ground stations are