標題: Titlebook: Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches; Cesar Gonzalez-Perez,Patricia Martin-Rodilla,Martí Bo [打印本頁] 作者: 轉變 時間: 2025-3-21 19:19
書目名稱Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches影響因子(影響力)
書目名稱Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches影響因子(影響力)學科排名
書目名稱Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches網絡公開度
書目名稱Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches網絡公開度學科排名
書目名稱Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches被引頻次
書目名稱Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches被引頻次學科排名
書目名稱Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches年度引用
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書目名稱Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches讀者反饋
書目名稱Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches讀者反饋學科排名
作者: 多嘴多舌 時間: 2025-3-21 23:01 作者: ANNUL 時間: 2025-3-22 01:43
A Causal Model Application to a Cultural Heritage Sentence Analysisaph is depicted from the selected set of causal phrases of the sentence and a Bayesian analysis is applied to separate effective causes from the spurious ones for understanding the judge’s verdict, concluding the usefulness of the causal analysis with the aim to grasp the factual and evidentiary con作者: 有特色 時間: 2025-3-22 06:11 作者: ONYM 時間: 2025-3-22 11:17
Dealing with Vagueness in Archaeological Discourses information all the time. In addition, vagueness is strongly embedded in language. Human language contains a number of mechanisms to express vagueness, such as hedges (“approximately”, “might”) or ranges (“between 12 and 15”). This means that any archaeological discourse is likely to employ devices作者: 完成才會征服 時間: 2025-3-22 14:59
Computer Processing of Language: Where Archaeological Discourse and Computers Meetn subsequent chapters of the volume), to later focus on the computational processing of archaeological discourse and its possibilities. The archaeological discourse in form of free-textual narratives, constitutes the expression and reflection of the archaeological knowledge produced. Thus, a computa作者: 完成才會征服 時間: 2025-3-22 17:58
NLP and Archaeology: A View from a Digital Archiveents our journey from an archaeological perspective, being useful to both researchers who wish to engage with NLP methodologies in Social Sciences and Humanities, while also giving the point of view of a trusted digital repository. Also, it reports ADS efforts to implement NLP within our collections作者: 繼而發(fā)生 時間: 2025-3-22 23:47 作者: 譏笑 時間: 2025-3-23 04:54 作者: 樹上結蜜糖 時間: 2025-3-23 06:26
Leszek Gawarecki,Vidyadhar Mandrekaraph is depicted from the selected set of causal phrases of the sentence and a Bayesian analysis is applied to separate effective causes from the spurious ones for understanding the judge’s verdict, concluding the usefulness of the causal analysis with the aim to grasp the factual and evidentiary con作者: Axon895 時間: 2025-3-23 10:01 作者: 輕快來事 時間: 2025-3-23 17:11 作者: STANT 時間: 2025-3-23 18:13
Summary and Potential Applicationsn subsequent chapters of the volume), to later focus on the computational processing of archaeological discourse and its possibilities. The archaeological discourse in form of free-textual narratives, constitutes the expression and reflection of the archaeological knowledge produced. Thus, a computa作者: Armada 時間: 2025-3-23 23:49 作者: 比賽用背帶 時間: 2025-3-24 04:53 作者: 責怪 時間: 2025-3-24 06:49
Introduction to Discourse Analysis and Argumentation Theory, framework. The current stage of computational technologies allows us to tackle this task from different perspectives. Along this chapter, I explore how an argument can be characterised and analysed from three theoretical perspectives (logic, pragmatic and cognitive). Each of these approaches lead u作者: 繞著哥哥問 時間: 2025-3-24 11:46
A New Approach to Interoperable Argumentation Documentationapabilities available in CRM. and notes the limitation that the evolution of any assertion or knowledge revision cannot be adequately documented. It then continues by detailing the extended facilities delivered by CRM. that address this short-coming. Next it considers the added potential to document作者: 含糊 時間: 2025-3-24 15:29 作者: FLIP 時間: 2025-3-24 22:25
A Causal Model Application to a Cultural Heritage Sentence Analysisusing bayesian techniques, schematically shows in an abbreviated way the essential content of the sentence for a non-specialist or general audience. For that purpose, the paper develops the following story line. We begin by noting the frequent controversies around heritage and its prosecution when d作者: 珊瑚 時間: 2025-3-25 02:06 作者: maudtin 時間: 2025-3-25 06:34
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作者: GUISE 時間: 2025-3-25 09:11 作者: 黑豹 時間: 2025-3-25 13:59
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作者: figure 時間: 2025-3-25 19:30 作者: exceptional 時間: 2025-3-25 23:57 作者: prostatitis 時間: 2025-3-26 02:41
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作者: finale 時間: 2025-3-26 04:22
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 作者: ARY 時間: 2025-3-26 09:55
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作者: addict 時間: 2025-3-26 13:01
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作者: 非秘密 時間: 2025-3-26 17:30
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.作者: ostensible 時間: 2025-3-26 22:17 作者: moribund 時間: 2025-3-27 04:06 作者: 創(chuàng)新 時間: 2025-3-27 05:19 作者: 河潭 時間: 2025-3-27 09:48 作者: 多嘴 時間: 2025-3-27 13:48
Future Directionsten found scattered across different fields. By combining the expertise of specialists in discourse analysis, argumentative analysis, natural language processing, archaeology, and digital humanities, we hope to have succeeded in our goal.作者: Yag-Capsulotomy 時間: 2025-3-27 20:02
Summary and Potential Applications discussed, with a focus on practical examples. After reading the chapter, you should have a clear grasp on the possibilities of text mining in archaeology, the current state of research, and enough information to start your own text analyses.作者: HPA533 時間: 2025-3-27 22:19 作者: Mechanics 時間: 2025-3-28 03:00 作者: 笨拙的我 時間: 2025-3-28 09:03 作者: 粗魯性質 時間: 2025-3-28 11:04 作者: 有法律效應 時間: 2025-3-28 18:33 作者: Opponent 時間: 2025-3-28 20:14 作者: iodides 時間: 2025-3-29 01:36
Information Extraction and Machine Learning for Archaeological Texts discussed, with a focus on practical examples. After reading the chapter, you should have a clear grasp on the possibilities of text mining in archaeology, the current state of research, and enough information to start your own text analyses.作者: bronchiole 時間: 2025-3-29 04:06
Book 2023and argument analysis approaches and techniques in an affordable manner and applied to archaeological situations. It focuses on techniques and approaches that can be applicable to multiple situations, periods and cultures...The book begins with an introduction to discourse and argumentation analysis作者: 愚蠢人 時間: 2025-3-29 07:33 作者: Aggressive 時間: 2025-3-29 12:02
Manfred Denker,Marc Kesseb?hmerhen continues by detailing the extended facilities delivered by CRM. that address this short-coming. Next it considers the added potential to document the scholarly reading of texts that are considered specious and finally looks to future work on the extension.作者: 翅膀拍動 時間: 2025-3-29 18:52
Stochastic Dynamics Out of Equilibriumten found scattered across different fields. By combining the expertise of specialists in discourse analysis, argumentative analysis, natural language processing, archaeology, and digital humanities, we hope to have succeeded in our goal.作者: fatuity 時間: 2025-3-29 22:39
https://doi.org/10.1007/978-3-031-37156-1Archaeological Argumentation; Archaeological Discourse; Argumentation in Context and Archaeology; Disco作者: START 時間: 2025-3-30 01:44
978-3-031-37158-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 發(fā)生 時間: 2025-3-30 04:25
