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- W194329672 abstract "In the recent years a growing interest has been dedicated to the integration of search functions (typical of the Information Retrieval field) with navigation functions (typical of Hypertext systems). In the field of legal databases the need for sophisticated models is emphasised by the requirement to combine in an effective way different types of texts in order to solve legal problems. Starting from the consideration of the benefits and limitations (under both a functional and economical viewpoint) of the existing models, we have defined a reference model which takes into account context information in order to improve the retrieval accuracy. The model is based on the close integration of the search and navigation dimensions, in a framework which offers multiple views (structural, conceptual and functional) over the legal texts and emphasizes the issues of the transparency of the model and of the incrementality of the search process. The model has been experimented on a significant excerpt of the Italian Banking Regulations, resulting in the NaviLex prototype, based on a 'legal electronic book' metaphor.The economical problem which hampers the development of powerful systems, namely the high costs for the manual indexing/authoring task, is tackled by a set of specific linguistic tools (first implemented in the Esprit project Nomos and currently developed in a research project funded by the Finsiel Group) devoted to the semi-automatic extraction from texts of the information structures considered in the model and used in the prototype. In order to overcome the state-of-the-art limitations of traditional 'deep' NLP techniques, these processors are based on 'shallow' techniques, amenable to effective large-scale text processing in the legal domain." @default.
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- W194329672 date "1994-10-11" @default.
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- W194329672 title "Search and navigation on legal documents based on automatic acquisition of content representation" @default.
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