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Adversarial Generation and Encoding of Nested Texts
In this paper we propose a new language model called AGENT, which stands for Adversarial Generation and Encoding of Nested Texts. AGENT is designed for encoding, generating and refining documents that consist of a long and coherent text, such as an entire book, provided they are hierarchically annotated (nested). i.e. divided into sentences, paragraphs
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The topic of the DARIAH training workshop “EpiDoc” will be digital editing of epigraphic and papyrological texts. It will focus on the encoding of inscriptions, papyri and other ancient texts. The workshop is intended for scholars of all levels, from students to professors.
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Text-Guided Semantic Image Encoder
20 pages, 6 ...
Raghuveer Thirukovalluru +4 more
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Dementia Detection by In-Text Pause Encoding
In dementia, particularly Alzheimer's Disease (AD), communication challenges are evident, especially in vocabulary and pragmatic aspects. Affected individuals often use vague, non-specific words, and their speech lacks informative nouns and verbs, leading to imprecise communication.
Reza Soleimani +4 more
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Editorial Introduction to Issue 7 of the Journal of the Text Encoding Initiative
Susan Schreibman
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Editorial Introduction to the Third Issue
Piotr Bański +2 more
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Editorial Introduction to the Fifth Issue
Tobias Blanke, Laurent Romary
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Editorial Introduction to Issue 10 of the Journal of the Text Encoding Initiative
Marjorie Burghart, Emmanuelle Morlock
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Editorial Introduction to Issue 8 of the Journal of the Text Encoding Initiative
Arianna Ciula, Fabio Ciotti
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2. ABSTRACT (ENGLISH) The present study aims to examine the field of visualization interfaces for TEI-based scholarly digital editions, following the criteria of diversity, inclusivity, and accessibility of digital resources promoted by the European ...
Stefano Bazzaco
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