Statutory article retrieval (SAR), the task of retrieving statute law articles relevant to a legal question, is a promising application of legal text processing. In particular, high-quality SAR systems can improve the work efficiency of legal professionals and provide basic legal assistance to citizens in need at no cost. Unlike traditional ad-hoc information retrieval, where each document is considered a complete source of information, SAR deals with texts whose full sense depends on complementary information from the topological organization of statute law. While existing works ignore these domain-specific dependencies, we propose a novel graph-augmented dense statute retriever (G-DSR) model that incorporates the structure of legislation via a graph neural network to improve dense retrieval performance. Experimental results show that our approach outperforms strong retrieval baselines on a real-world expert-annotated SAR dataset. 1
[fre] Vingt-six monographies suivies d'interviews non directives permettent de comparer l'évolution technique, l'évolution des structures sociales, l'évolution des comportements et des mentalités. . Si les équipements des secteurs enquêtes ont énormément progressé, les comportements et les structures de relation semblent suivre avec un temps de retard, alors que les mentalités sont encore en majorité d'un autre âge. Beaucoup de gens n'ont pas les structures mentales nécessaires pour comprendre la vie d'aujourd'hui et se sentent mal à l'aise. [eng] On the rural mentality and change - Twenty-six individual studies followed by interviews enable a comparison between technical evolution, the change in social structure, in behaviour and in mentality to be made. . In conclusion the hypothesis is put forward that if equipment in the branches studied have changed considerably, behaviour and structures have followed with some delay, whereas the mentatity is still largely that of another age. Many people have not the mental structures necessary to understand life to-day, and feel ill at ease.
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