Argument mining and analytics in archaeology

The ever increasing volume of textual data ripe for analysis has driven computational efforts to unlock the wealth of information contained within. The automated reconstruction of the argumentative structure of texts, Argument Mining, meets this challenge by not only showing what claims are being advanced (conclusion), but also why (premises). In this chapter, we start by surveying some of the foundations and state-of-the-art of argument mining and how they can be applied in domain-specific tasks in different research contexts, such as archaeology. After that, we discuss two central themes in argumentation critical for argument mining: argument schemes (common patterns of reasoning) and discourse markers (that function as argumentative indicators). Next, we describe how to create specific datasets for argument mining systems by means of annotated text corpora and how to store it using the Argument Interchange Format ontology. We conclude explaining Argument Analytics, a visual way to deliver the output of argument mining systems to its potential users.

The ever increasing volume of textual data ripe for analysis has driven computational efforts to unlock the wealth of information contained within. The automated reconstruction of the argumentative structure of texts, Argument Mining, meets this challenge by not only showing what claims are being advanced (conclusion), but also why (premises). In this chapter, we start by surveying some of the foundations and state-of-the-art of argument mining and how they can be applied in domain-specific tasks in different research contexts, such as archaeology. After that, we discuss two central themes in argumentation critical for argument mining: argument schemes (common patterns of reasoning) and discourse markers (that function as argumentative indicators). Next, we describe how to create specific datasets for argument mining systems by means of annotated text corpora and how to store it using the Argument Interchange Format ontology. We conclude explaining Argument Analytics, a visual way to deliver the output of argument mining systems to its potential users.