This paper explores the potential of machine learning for recognizing and analysing
linguistic markers of hubris in CEO speech. This research is based on three assumptions …

The automatic annotation of direct speech (AADS) in written text has been often used in
computational narrative understanding. Methods based on either rules or deep neural …

Fictional prose can be broadly divided into narrative and discursive forms with direct speech
being central to any discourse representation (alongside indirect reported speech and free …

We present recognizers for four very different types of speech, thought and writing
representation (STWR) for German texts. The implementation is based on deep learning …

Abstract Recent advances in Natural Language Preprocessing (NLP) allow for a fully
automatic extraction of character networks for an incoming text. These networks serve as a …

In this thesis, we study the expressivity of read speech with a particular type of data, which
are audiobooks. Audiobooks are audio recordings of literary works made by professionals …

This research seeks to provide an insight into the identification and understanding of
linguistic markers of Chief Executive Officer (CEO) hubris. It analyses spoken and written …

The progressive digitization of texts, be they literary or not, has had a remarkable impact on
the way we access them, making it possible to obtain help from computers towards the …

Abstract The Industrial Memories project aims for new distant (ie, text analytic) and close
readings (ie, witnessing) of the 2009 Ryan Report, the report of the Irish Government's …

Industrial Memories is a digital humanities initiative to supplement close readings of a
government report with new distant readings, using text analytics techniques. The Ryan …