@article{45324,
  author       = {{Zdoupas, Philippos and Laubenstein, Désirée}},
  journal      = {{Social Sciences}},
  number       = {{3}},
  pages        = {{154}},
  title        = {{{‘I Feel Well, Accepted and Competent in School’—Determinants of Self-Perceived Inclusion and Academic Self-Concept in Students with Diagnosed Behavioral, Emotional and Social Difficulties (BESD)}}},
  doi          = {{10.3390/socsci12030154}},
  volume       = {{12}},
  year         = {{2023}},
}

@inbook{45696,
  author       = {{Aghaei Abrandabadi, Seyed Ali}},
  booktitle    = {{Hadith Commentary: Continuity and Change}},
  editor       = {{Blecher, Joel and Brinkmann, Stefanie}},
  publisher    = {{Edinburgh University Press}},
  title        = {{{The Hermeneutics of al-Sharīf al-Murtaḍā (d. 436/1044) in the Interpretation of Akhbār al-Āḥād in his Kitāb al-Amālī}}},
  year         = {{2023}},
}

@inbook{45700,
  author       = {{Dorogova, Elizaveta}},
  booktitle    = {{Hermeneutiken der Weisheit}},
  editor       = {{Oeming, Manfred and Schmidt, Nora}},
  publisher    = {{Mohr Siebeck Verlag}},
  title        = {{{Weisheit und moralischer Intellektualismus im Koran aus intertextueller Perspektive}}},
  year         = {{2023}},
}

@book{45705,
  editor       = {{Tatari, Muna and Nassery, Idris}},
  publisher    = {{Brill Verlag (Im Erscheinen)}},
  title        = {{{Dynamics of Tradition: Islamic Law and Theology in Relation}}},
  year         = {{2023}},
}

@inbook{44461,
  author       = {{Eckel, Julia}},
  booktitle    = {{Screen-Images. Screenshot, Screencast, In-Game Photography}},
  editor       = {{Gerling, Winfried and Möring, Sebastian and de Mutiis, Marco}},
  publisher    = {{Kadmos}},
  title        = {{{Screencasting: Documenting Processuality}}},
  year         = {{2023}},
}

@inbook{45716,
  author       = {{Eckel, Julia and Linseisen, Elisa}},
  booktitle    = {{Epidemics and Othering. The Biopolitics of COVID-19 in Historical and Cultural Perspectives}},
  editor       = {{Steinhoff, Heike}},
  publisher    = {{transcript}},
  title        = {{{The Virus Is Present, Presence Is Virulent: Being Co(m)present With Others in Times of Corona}}},
  year         = {{2023}},
}

@phdthesis{44323,
  abstract     = {{Reading between the lines has so far been reserved for humans. The present dissertation addresses this research gap using machine learning methods.
Implicit expressions are not comprehensible by computers and cannot be localized in the text. However, many texts arise on interpersonal topics that, unlike commercial evaluation texts, often imply information only by means of longer phrases. Examples are the kindness and the attentiveness of a doctor, which are only paraphrased (“he didn’t even look me in the eye”). The analysis of such data, especially the identification and localization of implicit statements, is a research gap (1). This work uses so-called Aspect-based Sentiment Analysis as a method for this purpose. It remains open how the aspect categories to be extracted can be discovered and thematically delineated based on the data (2). Furthermore, it is not yet explored how a collection of tools should look like, with which implicit phrases can be identified and thus made explicit
(3). Last, it is an open question how to correlate the identified phrases from the text data with other data, including the investigation of the relationship between quantitative scores (e.g., school grades) and the thematically related text (4). Based on these research gaps, the research question is posed as follows: Using text mining methods, how can implicit rating content be properly interpreted and thus made explicit before it is automatically categorized and quantified?
The uniqueness of this dissertation is based on the automated recognition of implicit linguistic statements alongside explicit statements. These are identified in unstructured text data so that features expressed only in the text can later be compared across data sources, even though they were not included in rating categories such as stars or school grades. German-language physician ratings from websites in three countries serve as the sample domain. The solution approach consists of data creation, a pipeline for text processing and analyses based on this. In the data creation, aspect classes are identified and delineated across platforms and marked in text data. This results in six datasets with over 70,000 annotated sentences and detailed guidelines. The models that were created based on the training data extract and categorize the aspects. In addition, the sentiment polarity and the evaluation weight, i. e., the importance of each phrase, are determined. The models, which are combined in a pipeline, are used in a prototype in the form of a web application. The analyses built on the pipeline quantify the rating contents by linking the obtained information with further data, thus allowing new insights.
As a result, a toolbox is provided to identify quantifiable rating content and categories using text mining for a sample domain. This is used to evaluate the approach, which in principle can also be adapted to any other domain.}},
  author       = {{Kersting, Joschka}},
  pages        = {{208}},
  publisher    = {{Universität der Bundeswehr München }},
  title        = {{{Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining}}},
  year         = {{2023}},
}

@inbook{45882,
  author       = {{Bäumer, Frederik Simon and Chen, Wei-Fan and Geierhos, Michaela and Kersting, Joschka and Wachsmuth, Henning}},
  booktitle    = {{On-The-Fly Computing -- Individualized IT-services in dynamic markets}},
  editor       = {{Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}},
  pages        = {{65--84}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation}}},
  doi          = {{10.5281/zenodo.8068456}},
  volume       = {{412}},
  year         = {{2023}},
}

@inbook{45990,
  author       = {{Müller, Inez}},
  booktitle    = {{Interkulturelle Konstellationen in Literaturwissenschaft und Literaturdidaktik. Festschrift für Michael Hofmann}},
  editor       = {{Böker, Ines}},
  isbn         = {{978-3-8260-7919-1}},
  pages        = {{329--342}},
  publisher    = {{Königshausen & Neumann}},
  title        = {{{Zur Darstellung der Afrikanischen Europäerin in Geschichte und Gegenwart - Sharon Dodua Otoos Roman 'Adas Raum'}}},
  year         = {{2023}},
}

@inbook{41849,
  author       = {{Harnack, Maria}},
  booktitle    = {{Kulturerbe als kulturelle Praxis – Kulturerbe in der Beratungspraxis}},
  editor       = {{Drascek, Daniel and Groschwitz , Helmut and Wolf, Gabriele}},
  pages        = {{49 -- 63}},
  title        = {{{Potenziale der Kulturerbe-Konvention von 2003. Beispiele aus der Beratungspraxis der Landesstelle Immaterielles Kulturerbe NRW}}},
  year         = {{2023}},
}

@techreport{46102,
  author       = {{Leineweber, Jonas}},
  publisher    = {{H-Soz-Kult}},
  title        = {{{Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum}}},
  year         = {{2023}},
}

@misc{45674,
  booktitle    = {{Kunst und Politik}},
  editor       = {{Papenbrock, Martin and Tophinke, Doris}},
  publisher    = {{V&R unipress}},
  title        = {{{Politisches Graffiti}}},
  volume       = {{24}},
  year         = {{2023}},
}

@inbook{45702,
  author       = {{Husic, Ahmed}},
  booktitle    = {{The Attributes of God in Islamic Thought: Contemplating Allah}},
  editor       = {{Khalilizand, Mansooreh}},
  title        = {{{The Omnipotence (al-qudra) and the Will of God (al-irāda) in the Theology of Sayf ad-Dīn al-Āmidī}}},
  year         = {{2023}},
}

@inbook{45760,
  author       = {{Kruse, Iris and Terhorst, Sarah}},
  booktitle    = {{„So viel Größenwahn muss sein!”}},
  editor       = {{Kruse, Iris and Kanning, Julian}},
  isbn         = {{978-3-96848-101-2}},
  pages        = {{155 -- 176}},
  publisher    = {{kopaed}},
  title        = {{{Arm und ausgegrenzt. Kinderarmut in der Literatur und im lesenden Klassenzimmer.}}},
  year         = {{2023}},
}

@inbook{46125,
  author       = {{Kruse, Iris and Kanning, Julian}},
  booktitle    = {{So viel Größenwahn muss sein! Kinderliteratur, Schule und Gesellschaft. Zum Bildungsauftrag des Literaturunterrichts in der Grundschule.}},
  editor       = {{Kruse, Iris and Kanning, Julian}},
  isbn         = {{978-3-96848-101-2}},
  pages        = {{7--12}},
  publisher    = {{kopaed}},
  title        = {{{"So viel Größenwahn muss sein!". Zur Einführung.}}},
  year         = {{2023}},
}

@inbook{46205,
  abstract     = {{We present a concept for quantifying evaluative phrases to later compare rating texts numerically instead of just relying on stars or grades. We achievethis by combining deep learning models in an aspect-based sentiment analysis pipeline along with sentiment weighting, polarity, and correlation analyses that combine deep learning results with metadata. The results provide new insights for the medical field. Our application domain, physician reviews, shows that there are millions of review texts on the Internet that cannot yet be comprehensively analyzed because previous studies have focused on explicit aspects from other domains (e.g., products). We identify, extract, and classify implicit and explicit aspect phrases equally from German-language review texts. To do so, we annotated aspect phrases representing reviews on numerous aspects of a physician, medical practice, or practice staff. We apply the best performing transformer model, XLM-RoBERTa, to a large physician review dataset and correlate the results with existing metadata. As a result, we can show different correlations between the sentiment polarity of certain aspect classes (e.g., friendliness, practice equipment) and physicians’ professions (e.g., surgeon, ophthalmologist). As a result, we have individual numerical scores that contain a variety of information based on deep learning algorithms that extract textual (evaluative) information and metadata from the Web.}},
  author       = {{Kersting, Joschka and Geierhos, Michaela}},
  booktitle    = {{Data Management Technologies and Applications}},
  editor       = {{Cuzzocrea, Alfredo and Gusikhin, Oleg and Hammoudi, Slimane and Quix, Christoph}},
  isbn         = {{9783031378898}},
  issn         = {{1865-0929}},
  pages        = {{45--65}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews}}},
  doi          = {{10.1007/978-3-031-37890-4_3}},
  volume       = {{1860}},
  year         = {{2023}},
}

@inproceedings{46262,
  author       = {{Scholl, Daniel and Küth, Simon and Vogelsang, Christoph and Meier, Jana and Watson, Christina and Seifert, Andreas}},
  location     = {{Universität Potsdam}},
  title        = {{{Das Unterrichtsplanungsprinzip der Interdependenz – Eine netzwerkanalytische Untersuchung der Begründungsstrukturen beim Planungsentscheiden [Einzelbeitrag]. }}},
  year         = {{2023}},
}

@inproceedings{46263,
  author       = {{Scholl, Daniel and Vogelsang, Christoph and Küth, Simon and Meier, Jana and Watson, Christina and Seifert, Andreas}},
  location     = {{Stiftung Universität Hildesheim}},
  title        = {{{Eine reflexive Haltung als Grundlage einer hochwertigen Unterrichtsreflexion? Zusammenhänge zwischen einer quasi-experimentellen Einstellung zur Reflexion und der Reflexionsperformanz von Lehramtsstudierenden [Einzelbeitrag]. }}},
  year         = {{2023}},
}

@inbook{46099,
  author       = {{Tophinke, Doris}},
  booktitle    = {{Zwischen Fake und Fakt}},
  editor       = {{Feilke, Helmuth}},
  pages        = {{42–47}},
  publisher    = {{Friedrich Verlag}},
  title        = {{{"Tankrabatt" und "Freiheitsenergie". Wie der Blog "neusprech.org" politische Euphemismen entlarvt}}},
  volume       = {{300}},
  year         = {{2023}},
}

@article{45673,
  author       = {{Merten, Marie-Luis and Wever, Marcel and Tophinke, Doris and Geierhos, Michaela and Hüllermeier, Eyke}},
  journal      = {{International Journal of Corpus Linguistics}},
  title        = {{{Annotation uncertainty in the context of grammatical change}}},
  doi          = {{https://doi.org/10.1075/ijcl.20113.mer}},
  year         = {{2023}},
}

