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130 results for “Bulgarian”
Figures 17- 18 from: Liston A, Prous M, Macek J (2019) On Bulgarian sawflies, including a new species of Empria (Hymenoptera, Symphyta). Deutsche Entomologische Zeitschrift 66(1): 85-105. https://doi.org/10.3897/dez.66.34309
Figures 17- 18 Empriaaridicola larva.
Figure 40 from: Liston A, Prous M, Macek J (2019) On Bulgarian sawflies, including a new species of Empria (Hymenoptera, Symphyta). Deutsche Entomologische Zeitschrift 66(1): 85-105. https://doi.org/10.3897/dez.66.34309
Figure 40 Endelomyiafilipendulae DEI-GISHym31826 penis valve.
Figure 1 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 1. Location of studied points of the Mesta, Tundzha, and Vit Rivers.
Bulgarian Squat in the Improvement of Asymmetries of Lower Limbs in Soccer Players
ClinicalTrials.gov study NCT04285593. IPD Sharing: Not stated. Countries: 1. Publications: 0.
TRACES Bulgarian Twitter Dataset on Lies and Manipulation Annotated with Linguistic Markers of Lies
<p><strong>This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset is in .csv format and contains 32518 tweet IDs of tweets, written in Bulgarian, with annotations. Note: this dataset is not fact-checked, the social media messages have been retrieved via keywords. For fact-checked datasets, see our other datasets.</strong></p> <p><strong>The dataset can be used for general purposes or for building lies and disinformation detection applications (by using the annotations with the linguistic markers of lies). </strong></p> <p><strong>The tweets (written between 1 Jan 2020-27 June 2022) have been collected via Twitter API under academic access in June-July 2022 with the following keywords:</strong></p> <p><strong>(лъжа OR лъжи OR лицемерие OR лъжат OR излъга OR измама OR измамници OR измами OR лъжец OR лъжци) </strong></p> <p><strong>(фалшиви OR fakenews OR невярно OR неверни OR подвеждащи OR подвеждащо OR неистини) - without retweets</strong></p> <p><strong>(манипулация OR манипулира OR стъкмистика OR крие OR далавераджия OR далавери OR далавера) - without retweets</strong></p> <p><strong>Explanation of which fields can be used as markers of lies (or of intentional disinformation) are provided in our forthcoming paper:</strong></p> <p>Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology<br> Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.</p> <p> </p>
TRACES Bulgarian Telegram Dataset Annotated with Linguistic Markers of Lies
<p><strong>This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset contains 8791 anonymized Telegram social media posts, written in Bulgarian. The dataset is annotated with general information (named entities, part-of-speech tags, sentence length, etc.) and specific markers signaling details and can be used for general purposes or for building lies, manipulation, and disinformation detection applications. </strong></p> <p><strong>Note: this dataset is not fact-checked, the social media messages have been retrieved via keywords. For fact-checked datasets, see our other datasets.</strong></p> <p><strong>The social media posts have been collected via Telegram Desktop in June-July 2022.</strong></p> <p><strong>Explanations of which fields can be used as markers of lies (or of intentional disinformation) are provided in our forthcoming paper: </strong></p> <p>Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology<br> Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.</p>
TRACES Bulgarian Twitter Dataset on Famous Bulgarian Political Cases of Suspected Lies, Annotated with Linguistic Markers of Lies
<p><strong>This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset contains 15850 tweet IDs of tweets, written in Bulgarian, with annotations. The dataset can be used for general use or for building lies and disinformation detection applications. </strong></p> <p><strong>Note: this dataset is not fact-checked, the social media messages have been retrieved via keywords. For fact-checked datasets, see our other datasets.</strong></p> <p><strong>The tweets (written between 1 Jan 2020 and 7 July 2022) have been collected via Twitter API under academic access in June-July 2022 with the following keywords without retweets:</strong></p> <ul> <li> <p><strong>(ваксиниран депутат) OR (ваксинирани депутати) </strong></p> </li> <li> <p><strong>(язовири премиер) OR (язовири прокуратура) OR (язовири прокуратурата)</strong></p> </li> <li> <p><strong>((мвр хемус) OR мвр) (прокуратура OR прокуратурата)</strong></p> </li> <li> <p><strong>(шефът тотото) OR (изпълнителният директор Българския спортен тотализатор)</strong></p> </li> <li> <p><strong>(кирил петков двойно гражданство) OR (премиер двойно гражданство) OR (премиер гражданство)</strong></p> </li> <li> <p><strong>((Пътна OR загубена OR загуби OR изчезнала) карта газпром)</strong></p> </li> <li> <p><strong>(министър плагиат плагиатство) OR (плагиат плагиатство)</strong></p> </li> <li> <p><strong>((изслушване главния прокурор) OR (иван гешев)) </strong></p> </li> <li> <p><strong>(фалшива диплома)</strong></p> </li> <li> <p><strong>(златни паспорти)</strong></p> </li> <li> <p><strong>(апартаментгейт OR (къща за гости) OR (къщи за гости)</strong></p> </li> <li> <p><strong>(оръжия OR оръжие) (Украйна OR украина)</strong></p> </li> <li> <p><strong>((цена OR цени) (газ OR ток OR нафта OR бензин))</strong></p> </li> <li> <p><strong>(мвр OR данс) (фалшиви новини)</strong></p> </li> <li> <p><strong>(данъци OR данъчни OR данък)</strong></p> </li> <li> <p><strong>((кораб Царевна) OR Царевна)</strong></p> </li> <li> <p><strong>(Северна Македония) </strong></p> </li> </ul> <p><strong>Explanations of which fields can be used as markers of lies (or of intentional disinformation) are provided in our paper:</strong></p> <p>Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.</p>
TRACES Bulgarian Twitter Dataset on Covid-19 Annotated with Linguistic Markers of Lies
<p><strong>This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset contains 61411 tweet IDs of tweets, written in Bulgarian, with annotations. The dataset can be used for general use or for building lies and disinformation detection applications. </strong></p> <p><strong>Note: this dataset is not fact-checked, the social media messages have been retrieved via keywords. For fact-checked datasets, see our other datasets.</strong></p> <p><strong>The tweets (written between 1 Jan 2020 and 28 June 2022) have been collected via Twitter API under academic access in June 2022 with the following keywords:</strong></p> <ul> <li> <p><strong>(Covid OR коронавирус OR Covid19 OR Covid-19 OR Covid_19) - without replies and without retweets</strong></p> </li> <li> <p><strong>(Корона OR корона OR Corona OR пандемия OR пандемията OR Spikevax OR SARS-CoV-2 OR бустерна доза) - with replies, but without retweets</strong></p> </li> </ul> <p><strong>Explanations of which fields can be used as markers of lies (or of intentional disinformation) are provided in our forthcoming paper (please cite it when using this dataset): </strong></p> <p>Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology<br> Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.</p>
TRACES Telegram and Twitter Dataset with Bulgarian Journalists Manual Annotations of True/Untrue and Disinformation/Not and Automatic Annotations for Markers of Lies
<p>TRACES dataset of 4083 Twitter and Telegram posts automatically annotated for markers of lies and manually by Bulgarian journalists for containing true/untrue information and disinformation or not.</p> <p>Each message has been annotated by usually 3 (in under 10 cases by 2 annotators). The annotators came from different media, in order to obtain various views. They were asked to not get biased and were assured that their identities will not be revealed. </p> <p><strong>The dataset is a subset of these other datasets:</strong></p> <p>https://zenodo.org/record/7614247</p> <p>https://zenodo.org/record/7614318</p> <p>https://zenodo.org/record/7614357</p> <p>https://zenodo.org/record/7614294</p> <p> </p> <p><strong>It has been annotated following these Annotation Guidelines:</strong></p> <p>https://zenodo.org/record/7706743</p>
Traditional Bulgarian Shoe 18-19th century
Leather "tsarvul" (a more popular term is "Opanak") shoe used by peasants - or so called working people in Bulgaria in the near past. One of a number of shoe types popular in and around Bulgaria during this period. The shoe is completely made from leather and hard stitching. The sole is a separate layer of rough leather, that can be replaced if damaged, which made the shoe easy to repair. This shoe was worn in combination with thick wool socks, wich provide great cushioning, thermal and moisture regulation. Source: Objaverse 1.0 / Sketchfab
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