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Historiae, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
(2021)
The paper proposes an interdisciplinary approach including methods from disciplines such as history of
concepts, linguistics, natural language processing (NLP) and Semantic Web, to create a comparative
framework for ...
Speaker Attitudes Detection through Discourse Markers Analysis
(2021)
Speaker attitude detection is important for processing opinionated text. Survey data as such provide a valuable source of information and research for different scientific disciplines. They are also of interest to practitioners ...
LOD-Connected Offensive Language Ontology and Tagset Enrichment
(2021)
The main focus of the paper is the definitional revision and enrichment of offensive language typology,
making reference to publicly available offensive language datasets and testing them on available pretrained
lexical ...
LL(O)D and NLP perspectives on semantic change for humanities research
(2022)
This paper presents an overview of the LL(O)D and NLP methods, tools and data for detecting and representing semantic change, with its main application in humanities research. The paper’s aim is to provide the starting ...
Cross-Lingual Link Discovery for Under-Resourced Languages
(2022)
In this paper, we provide an overview of current technologies for cross-lingual link discovery, and we discuss challenges,
experiences and prospects of their application to under-resourced languages. We first introduce ...
ISO-based Annotated Multilingual Parallel Corpus for Discourse Markers
(2022)
Discourse markers carry information about the discourse structure and organization, and also signal local dependencies or
epistemological stance of speaker. They provide instructions on how to interpret the discourse, and ...
Morphological Complexity of Children Narratives in Eight Languages
(2022)
The aim of this study was to compare the morphological complexity in a corpus representing the language production of
younger and older children across different languages. The language samples were taken from the Frog ...
Implicit Offensive Language Taxonomy and Its Application for Automatic Extraction and Ontology
(2022)
Purpose: In this current study, we intend to explore varying forms of implicit (mostly figurative) offensiveness (e.g., irony, metaphor, hyperbole, etc.) in order to
propose a linguistic taxonomy of implicit offensiveness ...
Annotation Scheme and Evaluation: The Case of OFFENSIVE Language
(2022)
Purpose: Offensive discourse refers to the presence of explicit or implicit verbal
attacks towards individuals or groups and has been extensively analyzed in linguistics
(e.g., Culpeper, 2005; Haugh & Sinkeviciute, 2019) ...
An OWL Ontology for ISO-Based Discourse Marker Annotation
(2022)
Purpose: Discourse markers are linguistic cues that indicate how an utterance
relates to the discourse context and what role it plays in conversation. The authors are
preparing an annotated corpus in nine languages, and ...