In this paper, we present a dataset and a baseline evaluation for multilingual epidemic event extraction. We experiment with a multilingual news dataset which we annotate at the token level, a common tagging scheme utilized in event extraction systems. We approach the t...

Abstract The seasonal energy performance of a cooling system based on an innovative variable-geometry ejector (VGE) is numerically investigated by using TRNSYS. The VGE-based system is mainly driven by solar energy, collected through solar thermal collectors, and is cou...

Over the last decades, climate change has brought more and more challenges to managers of cultural heritage and researchers. The increasing effects of natural hazards on assets have required the development of a new protocol of techniques and methodologies for the monit...

Augmented reality applications provide new ways of presenting cultural heritage assets thanks to the recent advancement in the eld of smart devices. Unfortunately, the construction of the hardware and lower computational power of mobile processors limit the potential of...

Landscape studies have evolved into a significant branch of historical archaeological research, by placing emphasis on the ecological, economic, political and cultural values of pre-modern settled and sacred landscapes. The aim of our work is to support the systematic e...

Pretrained multilingual text encoders based on neural Transformer architectures, such as multilingual BERT (mBERT) and XLM, have achieved strong performance on a myriad of language understanding tasks. Consequently, they have been adopted as a go-to paradigm for multili...

The Winograd Schema Challenge (WSC), a novel litmus test for machine intelligence, has been proposed to advance the field of AI. Over the last decade, AI researchers have become increasingly interested in this challenge. While a common and trivial task for humans, studi...

In multi-agent systems, the ability to infer intentions allows artificial agents to act proactively and with partial information. In this paper we propose an algorithm to infer a speakers intentions with natural language analysis combined with plan recognition. We defin...

While exponential growth in public genomic data can afford great insights into biological processes underlying diseases, a lack of structured metadata often impedes its timely discovery for analysis. In the Gene Expression Omnibus, for example, descriptions of genomic s...

International audience; Named entity recognition (NER) is an information extraction technique that aims to locate and classify named entities (e.g., organizations, locations,...) within a document into predefined categories. Correctly identifying these phrases plays a s...