Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, November, 2020 The report traces the positioning of cultural heritage in society and the development of technologies and tools that support it...

The paper presents some aspects of media presentations on a particular ethnic group which in the western psyche brings up associations with Socialism, Cold War Era, wealth, as well as of criminals, and last but not least, as the deadliest secret agents. In particular, t...

This dataset is the outcome of an INSTAP-funded project “An Aegean Prehistory Written in Radiocarbon Dates”. It includes 3159 14C dates from 353 sites in Greece and reflects an attempt to exhaustively collect and cross-check all published radiocarbon dates from existing...

<p>The global character of the millennial-scale climate variability associated with the Dansgaard–Oeschger (DO) events in Greenland has been well-established for the last glacial cycle. Mainly due to the sparsity of reliable data, however, the spatial coherence of corre...

Abstract The paper reports the results of the organic petrological, palynological and geochemical characterization of lignite samples from the Kipra lignite seam (Late Miocene, Maritsa-West Basin, Bulgaria). The bulk of the organic matter (OM) is represented by highly g...

We present work on deception detection, where, given a spoken claim, we aim to predict its factuality. While previous work in the speech community has relied on recordings from staged setups where people were asked to tell the truth or to lie and their statements were r...

We present the construction of an annotated corpus of PubMed abstracts reporting about positive, negative or neutral effects of treatments or substances. Our ultimate goal is to annotate one sentence (rationale) for each abstract and to use this resource as a training s...

Comment: named entity recognition; Bulgarian NER; morphology; morpho-syntax

Online media aim for reaching ever bigger audience and for attracting ever longer attention span. This competition creates an environment that rewards sensational, fake, and toxic news. To help limit their spread and impact, we propose and develop a news toxicity detect...

Recently, reading comprehension models achieved near-human performance on large-scale datasets such as SQuAD, CoQA, MS Macro, RACE, etc. This is largely due to the release of pre-trained contextualized representations such as BERT and ELMo, which can be fine-tuned for t...