The foundational work of the interdisciplinary project NIKAW, which aims to analyse social networks in ancient Greek and Latin texts through mentions of historical figures, is presented, addressing the challenge of Named Entity Recognition (NER) for these languages by leveraging transformer-based models enriched with domain-specific knowledge.
A transferable curation framework for endangered languages, the first sizable Kalabari-English parallel corpus, and baseline experiments that reveal both the promise and the hallucination pitfalls of training on highly constrained, domain-specific data are contributed.
O. T. Olise· WORLD JOURNAL OF INNOVATION...· 0 citations
This paper introduces the task of identifying and segmenting legal conditions (Tatbestand) and legal consequences (Rechtsfolge) within German statutory texts and presents ANNOTARES (Annotations of Tatbestand-Rechtsfolge Sequences), a novel dataset comprising German law texts with span-level annotations.
Although these models provide innovative methodologies for addressing semantics in the analysis of Ancient Greek sources, challenges such as limited training data, the absence of shared evaluation standards, and the "black box" nature of deep learning remain significant obstacles.
F. Iezzi, Elia Scapini· Italian Journal of Computati...· 0 citations
This article presents a hybrid methodology for building a multilingual corpus designed tosupport the study of emerging concepts in the humanities and social sciences (HSS), illustrated herethrough the case of “non-technological innovation”. The corpus relies on two complementarysources: (1) textual content automaticall...
Revekka Kyriakoglou, Anna Pappa· Data & Corpus. La revue...· 0 citations
Classical philosophical corpora pose three compounding challenges for language resources: they exist in several languages without parallel alignment, their vocabulary is remote from that of contemporary readers, and generated text over culturally sensitive material must be verifiably grounded. We present Viveka-Insight...
Tamal Maharaj· 0 citations
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