Legal Document Management: An Integrated Approach

Gostojić, Stevan

doi:10.15308/sinteza-2019-374-380

Cited by 2 publications

References 5 publications

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Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering

Huang

Liao

Xie

et al. 2020

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

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Due to the improvement of Language Modeling, the emerging NLP assistant tools aiming for text generation greatly reduce the human workload on writing documents. However, the generation of legal text faces greater challenges than ordinary texts because of its high requirement for keeping logic reasonable, which can not be guaranteed by Language Modeling right now. To generate reasonable legal documents, we propose a novel method CoLMQA, which (1) combines Language Modeling and Question Answering, (2) generates text with slots by Language Modeling, and (3) fills the slots by our proposed Question Answering method named Transformer-based Key-Value Memory Networks. In CoLMQA, the slots represent the text part that needs to be highly constrained by logic, such as the name of the law and the number of the law article. And the Question Answering fills the slots in context with the help of Legal Knowledge Base to keep logic reasonable. The experiment verifies the quality of legal documents generated by CoLMQA, surpassing the documents generated by pure Language Modeling.

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Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering

Huang

Liao

Xie

et al. 2020

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

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Diversification of Legislation Editing Open Software (LEOS) Using Software Agents—Transforming Parliamentary Control of the Hellenic Parliament into Big Open Legal Data

Leventis

Fitsilis

Anastasiou³

2021

BDCC

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The accessibility and reuse of legal data is paramount for promoting transparency, accountability and, ultimately, trust towards governance institutions. The aggregation of structured and semi-structured legal data inevitably leads to the big data realm and a series of challenges for the generation, handling, and analysis of large datasets. When it comes to data generation, LEOS represents a legal informatics tool that is maturing quickly. Now in its third release, it effectively supports the drafting of legal documents using Akoma Ntoso compatible schemes. However, the tool, originally developed for cooperative legislative drafting, can be repurposed to draft parliamentary control documents. This is achieved through the use of actor-oriented software components, referred to as software agents, which enable system interoperability by interlinking the text editing system with parliamentary control datasets. A validated corpus of written questions from the Hellenic Parliament is used to evaluate the feasibility of the endeavour, and the feasibility of using it as an authoring tool for written parliamentary questions and generation of standardised, open, legislative data. Systemic integration not only proves the tool’s versatility, but also opens up new grounds in interoperability between formerly unrelated legal systems and data sources.

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Legal Document Management: An Integrated Approach

Cited by 2 publications

References 5 publications

Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering

Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering

Diversification of Legislation Editing Open Software (LEOS) Using Software Agents—Transforming Parliamentary Control of the Hellenic Parliament into Big Open Legal Data

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