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license: cc-by-sa-4.0
---
language:
- sr
tags:
- TeslaXLM
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<h4><i class="highlight-container"><b class="highlight">DigIko</b></i></h4>
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<p>Дигиталне иконе 20+ као TEI корпус интервјуа анотиран именованим ентитетима и повезан са Википодацима</p>
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<p>Digital Icons 20+ as a TEI interview corpus annotated with named entities and linked to Wikidata.</p>
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<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">Author</div>
<a href="https://huggingface.co/rankas">
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<div style="text-align: center; font-size: 16px; font-weight: 800">Ranka Stanković</div>
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<a href="https://huggingface.co/rankas">
<div style="text-align: center; font-size: 14px;">@rankas</div>
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<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">Computation</div>
<a href="https://tesla.rgf.bg.ac.rs">
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<div style="text-align: center; font-size: 16px; font-weight: 800">TESLA project</div>
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<a href="https://huggingface.co/te-sla">
<div style="text-align: center; font-size: 14px;">@te-sla</div>
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<br/><br/>
## Cit.
```bibtex
@inproceedings{lrec2026-digiko,
author = {Ranka Stanković, Tamara Vučenović, Biljana Rujević, Milica Ikonić Nešić, Mihailo Škorić},
title = {Integrating TEI, NER/NEL, Textometry, and Linked Data for a Semantically Enriched Interview Corpus},
booktitle = {LREC 2026 - accepted for publishing},
year = {20265},
address = {Palma de Majorca, Spain}
}
```
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<p>Истраживање jе спроведено уз подршку Фонда за науку Републике Србиjе, #7276, Text Embeddings – Serbian Language Applications – TESLA</p>
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<p>This research was supported by the Science Fund of the Republic of Serbia, #7276, Text Embeddings - Serbian Language Applications - TESLA</p>
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