Treffer: Advanced techniques for legal document processing and retrieval

A large interest has been dedicated in recent years to the study of models for textual databases amenable to an effective integration of search and navigation functions. In the field of legal databases the need for sophisticated models is emphasised by the need to relate and combine in an effective way different types of texts, in order to solve legal problems. In our research we have analysed several existing models, each providing specific benefits and exhibiting corresponding limitations, under both a functional and economical viewpoint. Under a functional point of view, a distinctive feature of our model is the representation of relevant context information, aimed at improving the retrieval accuracy, in a framework in which the availability of multiple (structural, conceptual and functional) views over the legal texts emphasises 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 and fiscal law, embodied in the NaviLex experimental system. On the other hand, sophisticated models imply complex text encodings, which in turn entail high costs for the manual indexing/authoring task. This well-known problem, which hampers the development of large powerful systems, has been tackled with a set of specific linguistic tools, first