Abstract The article introduces and discusses a corpus-assisted study that sets out to identify analyse how self-mention is employed in science communication associated with COVID-19 research disseminated the general public by leading universities United Kingdom (the UK) States of America USA). corpus comprised computer-mediated related pandemic on official websites Johns Hopkins University USA...

Anosognosia, or lack of awareness of one's deficits, is a core feature of the behavioral variant of frontotemporal dementia (bvFTD). We hypothesized that this deficit has its origins in failed emotional processing of errors. We studied autonomic and facial emotional reactivity to errors in patients with bvFTD (n = 17), Alzheimer's disease (AD, n = 20), and healthy controls (HC, n = 35) during p...

This contrastive study was conducted to contrastively analyze English and Farsi newspaper opinion columns in terms of the frequency of different types of stance markers.60 newspaper opinion columns (30 written in English and 30 written in Farsi) from 10 wide spread newspapers published in the United States and Iran in 2015 were analyzed. Hyland’s (2005) model of stance markers (hedges, boosters...

This study examined the effect of language proficiency on repeated mention reduction in L2 English spontaneous speech by Korean native speakers. We found a significant effect of L2 proficiency on word duration in repeated mentions. Specifically, as with native English speakers (EN), Korean learners of English with high English proficiency (KH) reduced the duration of repeated words, while those...

Text mining on a large scale that addresses actionable prediction needs to content with noisy information in documents, and with interdependencies between the kinds of NLP techniques applied and the data representation of instances. This paper presents an initial investigation of the impact of improved company mention detection for financial analytics. Coverage of company mention detection impr...

In this paper, a machine learning-based system was proposed for the challenge task of chemical entity mention recognition in patents (CEMP) in BioCreative V. The CEMP task was recognized as a sequence labeling problem and conditional random fields (CRF) were employed for it. Evaluation on the CEMP challenge corpus showed that our system (team 293) achieved a micro F-measure of 87.03%.

We analyzed three functions of Twitter (Favorite, Follow and Mention) from network structural point of view. These three functions are characterized by difference and similarity in various measures defined in directed graphs. Favorite function can be viewed by three different graph representations: a simple graph, a multigraph and a bipartite graph, Follow function by one graph representation: ...