The (In-)Consistency of Literary Concepts. Operationalising, Annotating and Detecting Literary Comment

This paper explores how both annotation procedures and automatic detection (i.e. classifiers) can be used to assess the consistency of textual literary concepts. We developed an annotation tagset for the ‘literary comment’ – a frequently used but rarely defined concept – and its subtypes (interpretative comment, attitude comment and metanarrative/metafictional comment) and trained a multi-output and a binary classifier. The multi-output classifier shows F-scores of 28% for attitude comment, 36% for interpretative comment and 48% for meta comment, whereas the binary classifier achieves F-scores up to 59%. Crucially, both our annotation and the automatic classification struggle with the same subtypes of comment, although annotation and classification follow completely different procedures. Our findings suggest an inconsistency in the overall literary concept ‘comment’ and most prominently the subtypes ‘attitude comment’ and ‘interpretative comment’. As a best-practice-example, our approach illustrates that the contribution of Digital Humanities to Literary Studies may go beyond the automatic recognition of literary phenomena

OJS Software Workshop Report

This report summarizes the achievements of the OJS community members from Germany and Switzerland in the OJS Workshop in Heidelberg University Library, Germany from February 20 and 21, 2020. Main goal of the workshop was to share knowledge and challenges, conceptualize and document problem solving suggestions and collectively develop software in and around OJS. Participants worked on a variety of subjects including data import/export plugins, search functionality, containerization, long-time archiving and XML workflows in and around OJS and OMP. The workshop is a continuation of fruitful meetings within the German OJS user and developer community under auspices of OJS-de.net networ

Refining Croatian journals for a Diamond Open Access future

The Diamond Discovery Hub (DDH), a result of the CRAFT-OA project, aims to strengthen Diamond Open Access (OA) publishing in the non-profit sector, focusing on public or institutional journals, platforms, and services operated by academics and research performing institutions. It provides free, sustainable services to enhance the visibility and recognition of Diamond OA journals. DDH will serve as a hub, offering a collection of Diamond Journals and distributing metadata to aggregators without charging indexing fees. Inclusion in the DDH requires compliance with established criteria, which define the necessary standards for a journal to be recognized as Diamond

Refining Croatian journals for a Diamond Open Access future

The Diamond Discovery Hub (DDH), a result of the CRAFT-OA project, aims to strengthen Diamond Open Access (OA) publishing in the non-profit sector, focusing on public or institutional journals, platforms, and services operated by academics and research performing institutions. It provides free, sustainable services to enhance the visibility and recognition of Diamond OA journals. DDH will serve as a hub, offering a collection of Diamond Journals and distributing metadata to aggregators without charging indexing fees. Inclusion in the DDH requires compliance with established criteria, which define the necessary standards for a journal to be recognized as Diamond

A Unified Approach to Discourse Relation Classification in nine Languages

This paper presents efforts to solve the shared task on discourse relation classification (disrpt task 3). The intricate prediction task aims to predict a large number of classes from the Rhetorical Structure Theory (RST) framework for nine target languages. Labels include discourse relations such as background, condition, contrast and elaboration. We present an approach using euclidean distance between sentence embeddings that were extracted using multlingual sentence BERT (sBERT) and directionality as features. The data was combined into five classes which were used for initial prediction. The second classification step predicts the target classes. We observe a substantial difference in results depending on the number of occurrences of the target label in the training data. We achieve the best results on Chinese, where our system achieves 70 % accuracy on 20 labels

#GCDH at WNUT-2020 Task 2: BERT-Based Models for the Detection of Informativeness in English COVID-19 Related Tweets

In this system paper, we present a transformer-based approach to the detection of informativeness in English tweets on the topic of the current COVID-19 pandemic. Our models distinguish informative tweets, i.e. tweets containing statistics on recovery, suspected and confirmed cases and COVID-19 related deaths, from uninformative tweets. We present two transformer-based approaches as well as a Naive Bayes classifier and a support vector machine as baseline systems. The transformer models outperform the baselines by more than 0.1 in F1-score, with F1-scores of 0.9091 and 0.9036. Our models were submitted to the shared task Identification of informative COVID-19 English tweets WNUT-2020 Task 2

Reflexive Passagen und ihre Attribution

Das Projekt MONA beschäftigt sich mit reflexiven Passagen und ihrer Attribution. Der Begriff reflexive Passagen ist ein Oberbegriff für drei Phänomene: Generalisierung, literarischer Kommentar und nicht-fiktionale Rede. Reflexive Passagen können dem/der AutorIn, einer Erzähinstanz und/oder einer Figur zugeschrieben werden. Wir annotieren die mit reflexiven Passagen assoziierten Phänomene in deutschsprachigen fiktionalen Erzähltexten von 1650–1950 und veröffentlichen sie im Korpus MONACO. Auf der Grundlage der entstehenden Daten werden regelbasierte, statistische und neuronale Modelle zur Erkennung und Klassifikation von Generalisierung, Kommentar, nicht-fiktionaler Rede und ihrer Attribution entwickelt. Sobald ausreichend annotierte Daten vorliegen, kann eine diachrone Analyse der reflexiven Passagen und ihrer Attribution über einen Zeitraum von 350 Jahren vorgenommen werden. Ein Beitrag zur 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2022 Kulturen des digitalen Gedächtnisses