A Template Engine for Parsing Objects from Textual Representations

2011 ◽  
Author(s):  
Milan Rajković ◽  
Milena Stanković ◽  
Ivica Marković ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
...  
1970 ◽  
Vol 6 (1) ◽  
pp. 32-42
Author(s):  
Елена Старовойтенко

Персонологическая интерпретация текстов предполагает реализацию общенаучных, а также специфических для персонологии, герменевтических установок, к которым относятся: установка на интерпретацию текста как исследование, установка на разнообразие герменевтических действий с текстом, установка на выявление неисследованных содержаний текста, установка на творческое постижение тайн текста, установка на целостное отношение к личности и "Я" автора текста, установка на выявление способности автора быть "практикующим феноменологом", установка на определение места изучаемого текста в континууме текстовых репрезентаций "личности", установка на соотнесение своего понимания текста с другими интерпретациями и их интеграцию, установка на раскрытие сущности авторской "идеи личности", возможное только в единстве интерпретаций, установка на построение и применение герменевтической модели, определяющей процедуру интерпретации как исследования и творчества, установка на определение места проделанного герменевтического поиска в культуре познания и жизни личности, установка на интерпретацию различных видов "текстов личности". Personological interpretation of texts suggests the implementation of the general scientific and also hermeneutical settings specific for Personology which include the setting of the interpretation of the text as a research, setting of a variety of hermeneutical actions with the text, setting to identify unexplored contents of the text, setting of the creative comprehension of the mysteries of the text, setting of the integrity of the attitude of the individual and the "I" of the author of the text, setting to reveal the author's ability to be "practicing phenomenologist", setting of the definition of the place in the text in the continuum of textual representations of the "personality", setting in the correlation of the understanding of the text with other interpretations and their integration, setting of the disclosure of the author's "ideas person" is possible only in the unity of interpretation, setting of the construction and usage of hermeneutical models defining the procedure for the interpretation of both studies and work, the setting to determine the place of hermeneutical research in culture and knowledge of a person's life, setting of the interpretation of various types of "texts of the individual."


2021 ◽  
pp. 1-18
Author(s):  
Wen-Yi Huang

Abstract Using received texts and excavated funerary epitaphs, this article examines the intricacies of gender and migration in early medieval China by exploring women's long-distance mobility from the fourth century to the sixth century, when what is now known as China was divided by the Northern Wei and a succession of four southern states—the Eastern Jin, Liu-Song, Southern Qi, and Liang. I focus on three types of migration in which women participated during this period: war-induced migration, family reunification, and religious journeys. Based on this analysis, I propose answers to two important questions: the connection between migration and the state, and textual representations of migrants. Though the texts under consideration are usually written in an anecdotal manner, the references to women, I argue, both reveals nuances in perceptions of womanhood at the time and elucidates the contexts within—and through—which long-distance travel became possible for women.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joerg Leukel ◽  
Vijayan Sugumaran

PurposeProcess models specific to the supply chain domain are an important tool for the analysis of interorganizational interfaces and requirements of information technology (IT) systems supporting supply chain decision-making. The purpose of this study is to examine the effectiveness of supply chain process models for novice analysts in conveying domain semantics compared to alternative textual representations.Design/methodology/approachA laboratory experiment with graduate students as proxies for novice analysts was conducted. Participants were randomly assigned to either the diagram group, which worked with “thread diagrams” created from the modeling grammar “Supply Chain Operation Reference (SCOR) model”, or the text group, which worked with semantically equivalent textual representations. Domain understanding was measured using cognitively demanding information acquisition for two different domains.FindingsDiagram users were more accurate in identifying product-related information and organizing this information in a graph compared to those using the textual representation. The authors found considerable improvements in domain understanding, and using the diagrams was perceived as easy as using the texts.Originality/valueThe study's findings are unique in providing empirical evidence for supply chain process models being an effective representation for novice analysts. Such evidence is lacking in prior research because of the evaluation methods used, which are limited to scenario, case study and informed argument. This study adds the diagram user's perspective to that literature and provides a rigorous empirical evaluation by contrasting diagrammatic and textual representations.


Author(s):  
Tahani Aljohani ◽  
Alexandra I. Cristea

Massive Open Online Courses (MOOCs) have become universal learning resources, and the COVID-19 pandemic is rendering these platforms even more necessary. In this paper, we seek to improve Learner Profiling (LP), i.e. estimating the demographic characteristics of learners in MOOC platforms. We have focused on examining models which show promise elsewhere, but were never examined in the LP area (deep learning models) based on effective textual representations. As LP characteristics, we predict here the employment status of learners. We compare sequential and parallel ensemble deep learning architectures based on Convolutional Neural Networks and Recurrent Neural Networks, obtaining an average high accuracy of 96.3% for our best method. Next, we predict the gender of learners based on syntactic knowledge from the text. We compare different tree-structured Long-Short-Term Memory models (as state-of-the-art candidates) and provide our novel version of a Bi-directional composition function for existing architectures. In addition, we evaluate 18 different combinations of word-level encoding and sentence-level encoding functions. Based on these results, we show that our Bi-directional model outperforms all other models and the highest accuracy result among our models is the one based on the combination of FeedForward Neural Network and the Stack-augmented Parser-Interpreter Neural Network (82.60% prediction accuracy). We argue that our prediction models recommended for both demographics characteristics examined in this study can achieve high accuracy. This is additionally also the first time a sound methodological approach toward improving accuracy for learner demographics classification on MOOCs was proposed.


Author(s):  
Sven Feja ◽  
Sören Witt ◽  
Andreas Speck

Business process models (BPM) are widely used for specification of software systems, as the basis for model driven software development. Hence, it is crucial to ensure that these BPMs fulfill the requirements they have to comply with. These requirements may originate from various domains. Many may be considered non-functional requirements. They are affecting privacy, security, as well as compliance or economic aspects. In order to avoid error-prone manual checking, automated checking techniques should be applied wherever possible. This requires expressing requirements in a formal manner. The common textual representations for such formal requirements are not well accepted in the modeling domain, since they are settled on a lower level of abstraction, compared to BPMs. In this chapter, the authors present the Business Application Modeler (BAM), which integrates formal requirement specification and automated checking with process modeling. On the one hand BAM supports different notations for process modeling. On the other hand a graphical notation, called G-CTL, for the formal specification of requirements is provided. G-CTL is based on temporal logic, and statements are expressed on the level of abstraction of the graphical process models. Furthermore BAM provides the ability to define selective views on process models. This allows complex domain specific annotations of processes as well as the assignment of responsibilities regarding functional domains. Moreover, BAM integrates into common requirements engineering processes.


Author(s):  
André J. Krischer

Early modern diplomacy was never a princely and aristocratic province alone. Republics also sent and received diplomats or participated in peace conferences. Whereas this sort of republican diplomacy was basically accepted at the princely courts, Free Imperial Cities such as Bremen and Cologne faced significant difficulties when trying to gain recognition. Nonetheless, there were continuous efforts by the imperial cities to play their part in early modern diplomacy, not least because of the prestige that could be earned by participating in this sphere and its rituals. For them foreign relations were always a ritual process: ceremonial interaction was at its centre, since princely recognition of ceremonial receptions or urban emissaries conferred political and social acceptance of the imperial cities’ status. Ceremonial interaction between princes and cities often involved a reciprocal exchange of capital: of economic capital paid back as symbolic capital, as gestures of social recognition which were recorded in detail in the urban books of ceremony. Writing was therefore crucial for the symbolic dimensions of urban diplomacy. The imperial cities’ ceremony books were meant to be filled with reports about ceremony which were regarded as a gain of symbolic capital materialized in writing.


2019 ◽  
pp. 212-246
Author(s):  
Robert A. Schneider

This chapter focuses on the famous Rambouillet salon, the most important gathering spot for aristocrats—both men and women—and writers in the early decades of the seventeenth century. Presided over by the Marquise de Rambouillet and, especially, her daughter Julie, this institution was deliberately conceived as a refuge from the royal court, which was considered by many as lacking in refinement and politesse. It fostered intense interactions between a privileged and cultivated Parisian elite and up-and-coming writers. Indeed, for the latter, the salon was their primary “public.” The chapter looks particularly at several aspects of these interactions, from theatrical productions and literary pastimes to several textual representations. As a premier locus of “retreat,” the salon affords a particularly revealing example of how this ethos informed the cultural dynamics of the day.


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