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Titlebook: Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches; Cesar Gonzalez-Perez,Patricia Martin-Rodilla,Martí Bo

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21#
發(fā)表于 2025-3-25 06:34:24 | 只看該作者
The Social Production of Discourse in Archaeologyof things. The making of new archaeological information and knowledge both leans on and weaves a conversation of the past that is fundamentally as social as it is material. These conversations traverse an immense spectrum of archaeological practices and contexts far beyond archaeology itself. This c
22#
發(fā)表于 2025-3-25 09:11:51 | 只看該作者
23#
發(fā)表于 2025-3-25 13:59:59 | 只看該作者
Extending Discourse Analysis in Archaeology: A Multimodal Approachs, illustrations and photography as well as textual narratives in communicating its interpretations of past material culture. If discourse analysis is to shed light on the construction of archaeological knowledge it therefore should seek to incorporate the visual alongside the textual, but at presen
24#
發(fā)表于 2025-3-25 19:30:44 | 只看該作者
25#
發(fā)表于 2025-3-25 23:57:19 | 只看該作者
26#
發(fā)表于 2025-3-26 02:41:55 | 只看該作者
Information Extraction and Machine Learning for Archaeological Textsible. By leveraging computational approaches, it is possible to extract relevant information from this big data, allowing for more efficient research and new analyses. In this chapter, methods and techniques to extract information from archaeological texts through Machine Learning are introduced and
27#
發(fā)表于 2025-3-26 04:22:52 | 只看該作者
Argument Mining and Analytics in Archaeologye automated reconstruction of the argumentative structure of texts, ., meets this challenge by not only showing . claims are being advanced (conclusion), but also . (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
28#
發(fā)表于 2025-3-26 09:55:44 | 只看該作者
Computational Processing of Language Vagueness for Archaeological Site Modelling methods and examples to deal with the issue of uncertainty and vagueness arising from archaeological datasets and elaborates quantitative tools to process and integrate it in a Machine Learning (ML) framework. In particular, the chapter is focused on the combination of a fuzzy set approach with the
29#
發(fā)表于 2025-3-26 13:01:28 | 只看該作者
Future Directions argumentation analysis in archaeology. Our aim has been to offer a consolidated and integrated view of various works and research lines, which are often found scattered across different fields. By combining the expertise of specialists in discourse analysis, argumentative analysis, natural language
30#
發(fā)表于 2025-3-26 17:30:43 | 只看該作者
Manfred Denker,Marc Kesseb?hmererence between strong and weak archaeological arguments about the past. I examine four archaeological arguments, and use Toulmin’s method to assess their strength. The final topic is an examination of archaeological modeling as a form of argument.
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