Ejecución de acciones condicionadas por esquemas lingüísticos

Abstract

In the information society large amounts of information are being generated and transmitted constantly, especially in the most natural way for humans, i.e., natural language. Social networks, blogs, forums, and Q&A sites are a dynamic Large Knowledge Repository. So, Web 2.0 contains structured data but still the largest amount of information is expressed in natural language. Linguistic structures for text recognition enable the extraction of structured information from texts. However, the expressiveness of the current structures is limited as they have been designed with a strict order in their phrases, limiting their applicability to other languages and making them more sensible to grammatical errors. To overcome these limitations, we present a linguistic structure named “linguistic schema”, with a richer expressiveness that introduces less implicit constraints over annotations. The Linguistic-conditioned action executor uses these linguistic schemata to detect sentences that match a particular schema, extract the relevant information defined as variables in the schema, and execute arbitrary actions that can be added to the system as plugins, providing a framework to perform any action based on the information provided by natural language text.