Intelligent Chatter Bot for Regulation Search

Abstract

This communication presents a functional prototype, named PTAH, implementing a linguistic model focused on regulations in Spanish. Its global architecture, the reasoning model and short statistics are provided for the prototype. It is mainly a conversational robot linked to an Expert System by a module with many intelligent linguistic filters, implementing the reasoning model of an expert. It is focused on bylaws, regulations, jurisprudence and customized background representing entity mission, vision and profile. This Structure and model are generic enough to self-adapt to any regulatory environment, but as a first step, it was limited to an academic field. This way it is possible to limit the slang and data numbers. The foundations of the linguistic model are also outlined and the way the architecture implements the key features of the behavior.

A Survey of Research on Data Analytics-Based Legal Tech

“…[44,45]. Moreover, this type of data is sometimes provided in the form of an XML (Extensible Markup Language) document [44,46,47] or electronic database [42,48,49]. Inherently, structured document-type data are a sort of table data.…”

“…Furthermore, the research papers listed in Table 11 generally provide methodologies and applications for information extraction. The topics of the research papers include entity recognition [43,48,93,99], similarity-score-based recommendation or information retrieval [96,98], information visualization [42], and opinion mining [100], etc.…”