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  • Digital Humanities and Cultural Her...

  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Martin Kuna; Andrea Němcová; Ondřej Chvojka;

    Nálezy z archeologického výzkumu v Březnici (okr. Tábor) v letech 2005-2009 a 2019. Výzkum provedl O. Chvojka (Archeologický ústav FF JU v Českých Budějovicích). Data zahrnují údaje o keramice a dalších nálezech použitých k depoziční analýze sídlištních objektů mladší doby bronzové, zejména tzv. žlabů. Výsledky analýzy jsou publikovány v Chvojka et al. 2021. Popis databáze je obsažen v přiloženém PDF souboru. Podpořeno Grantovou agenturou ČR (18-10747S). Finds from the archaeological excavations in Březnice (Tábor district, South Bohemia, Czech Republic) in 2005-2009 and 2019. The fieldwork was directed by O. Chvojka (Institute of Archaeology, South Bohemian University in České Budějovice). Data concern the pottery fragments and other finds (daub, loom weights) used for the analysis of deposition processes in the Late Bronze Age settlement features. Based on this material, a model of house biography and the concept of closing rituals were formulated (see Chvojka et al. 2021). These models suggest an interpretation for the so-called trenches, specific sunken features filled with an unusually rich content of secondary-burnt pottery and other finds. Details of the database are given in the attached PDF file. Supported by the Czech Sceince Foundation (18-10747S). Chvojka, O. – Kuna, M. – Menšík, P. et al. 2021: Rituály ukončení a obnovy. Sídliště mladší doby bronzové v Březnici u Bechyně – Rituals of termination and renewal. The Late Bronze Age settlement in Březnice near Bechyně. České Budějovice – Praha – Plzeň. ISBN 978-80-7394-899-3; ISBN 978-80-7581-039-7; ISBN 978-80-261-1083-5.

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Data supplement for the landscape connectivity study between Iron Age settlements (LT B-LT D) in Křivoklát Protected Landscape Area with focus on site of Nižbor (exact quotation of the paper will be added after its official publishing – Venclová, N. –Dreslerová, D. – Kyselý, R. – Dyčka, M. – Šebesta, J. – Pachnerová Brabcová, K. – Bíšková, J. – Matoušek, V. 2024: Paths to this and the next world: A La Tène sunken hut from Nižbor, Central Bohemia. Archeologické rozhledy 76, 329-358). The study is based on the analysis called Cumulative Focal Mobility Network (CFMN), which has been perfected for more than a decade. This method calculates directional-less movement in the artificial environment from a multitude of source points (grid of 256 equally spaced points in a 50 km radius around Nižbor) by means of the interpretation of slope model using hydrological tools (Fábrega-Álvarez 2006; Murrieta-Flores 2012). The resulting x-number of models, representing the most convenient paths to the selection of points, are then merged and analysed with the Density tool to find the highest number of overlaps (for the syntax, see Fig. 14). In practice, these are the corridors for the most convenient movement throughout the landscape (Bellavia 2001; Verhagen 2010; Déderix 2016). In other words, the analysis can be described as an ideal model of connectivity and accessibility of various locations in the terrain and of optimal pathways – natural corridors of movement – leading across the entire landscape (Verhagen et al. 2013; Stančo – Pažout 2020). The 5th generation Digital Terrain Model of the Czech Republic (DMR 5G) was used for the analysis. It was reclassified to an 8 m cell size and cleared of modern infrastructure developments (Novák et al. 2022). It was combined with the Model of Potential Floodplains in the Czech Republic (Novák 2017), which served as a further buffer for the movement. All analyses were calculated in ArcMap 10.8 software. To reconstruct the position of the studied site in the LT B–LT ­D period in a broader sense, the settlement pattern should be considered within the Křivoklát Protected Landscape Area and its surroundings (principally Beroun, Kladno, Praha-západ and Rakovník districts in Central Bohemia). An overview of La Tène sites was recently presented (Dreslerová et al. 2022) based on current archaeological records (AMCR database). Hence, in a 50 km radius around Nižbor, 344 positive confirmations of human activity can be found between LT B and LT D. For the needs of this study, the site location was refined by merging the immediately neighbouring ones into clusters, which are further treated as one site with positive confirmation of occupation in LT B­–LT D. A total of 149 sites were thus studied in relation to Nižbor. Sources: AMCR database: Archaeological Map of the Czech Republic. Available at: https://digiarchiv.aiscr.cz/ [accessed 01-01-2022]. Bellavia, G. 2001: Extracting "Natural Pathways" from a Digital Elevation Model. Applications to Landscape Archaeological Studies. In: G. Burenhult – J. Arvidsson (eds.), Archaeological Informatics: Pushing The Envelope. Proceedings of the CAA 2001. Oxford: Archaeopress, 5–12. Déderix, S. 2016: Travelling Across Archaeological Landscapes: the Contribution of Hierarchical Communication Networks. In: S. Campana et al. (eds.), Keep the revolution going. Proceedings of the 43rd Annual Conference of Computer Applications and Quantitative Methods in Archaeology, CAA 2015. Oxford: Archaeopress, 555–565. Dreslerová, D. – Venclová, N. – Demján, P. – Kyselý, R. – Matoušek, V. 2022: Did they leave or not? A critical perspective on the beginnings of the La Tène period in Bohemia. Archeologické rozhledy 74, 505–537. https://doi.org/10.35686/AR.2022.24 Fábrega-Álvarez, P. 2006: Moving without destination. A theoretical GIS-based determination of movement from a giving origin. Archaeological Computing Newsletter 64, 7–11. Murrieta-Flores, P. 2012: Understanding human movement through spatial technologies. The role of natural areas of transit in the Late Prehistory of south-western Iberia. Trabajos de Prehistoria 69, 103–122. Novák D. 2017: GIS data - Model potenciálních rozlivových zón na území ČR | GIS data - Model of Potential Floodplains in the Czech Republic. Zenodo. doi: 10.5281/zenodo.3367357. Novák D. – Pružinec F. – Lieskovský T. 2022: The Potential and Implications of Automated Pre-Processing of Lidar-Based Digital Elevation Models for Large-Scale Archaeological Landscape Analysis. Slovak Journal of Civil Engineering 30, 4. http://dx.doi.org/10.2139/ssrn.4063514 Stančo, L. – Pažout, A. 2020: Which way to Roxane: Mobility networks in the heartland of Central Asia. Journal of Archaeological Science: Reports 32, 102391. https://doi.org/10.1016/j.jasrep.2020.102391 Verhagen, P. 2010: On the Road to Nowhere? Least Cost Paths, Accessibility and the Predictive Modelling Perspective. In: F. Contreras – M. Farjas – F. J. Melero (eds.), Proceedings of the 38th Annual Conference on Computer Applications and Quantitative Methods in Archaeology, CAA 2010. Oxford: Archaeopress, 383–390. Verhagen, P. – Brughmans, T. – Nuninger, L. – Bertoncello, F. 2013: The Long and Winding Road: Combining Least Cost Paths and Network Analysis Techniques for Settlement Location Analysis and Predictive Modelling. In: E. Graeme (ed.), Archaeology in the Digital Era. Papers from the 40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (CAA), Southampton, 26-29 March 2012. Amsterdam: Amsterdam University Press, 357–366.

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    The dataset was created within the project ���Land use, social transformations and woodland in Central European Prehistory. Modelling approaches to human-environment interactions��� funded by the Czech Science Foundation (19-20970Y). This dataset represents the largest and the most comprehensive collection of archaeological radiocarbon dates from the Czech Republic to date. The dataset offers 1579 samples from 347 archaeological sites dating from Early Mesolithic (10 000 BC) to Medieval Period (AD 1250). Published in a simple spreadsheet format, the database offers researchers a quick tool for further analyses. It is important to highlight that dates we collected originated only from archaeological contexts, which means that we have excluded some radiocarbon dates produced through palaeoecological research without a direct relationship to past human activities, such as pollen records or samples from fossilized trees in river beds. The dataset is intended to be used for demographic modelling of population numbers during periods without written records, i.e. prehistory. 1.0.1. - minor changes of data - corrections of few coordinates and Site IDs

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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: ZENODO
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: ZENODO
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  • Authors: The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Singh, Muskaan;

    Finding the lineage of a research topic is crucial for understanding the prior state of the art and advancing scientific displacement. The deluge of scholarly articles makes it difficult to locate the most relevant prior work and causes researchers to spend a considerable amount of time building up their literature list. Citations play a significant role in discovering relevant literature. However, not all citations are created equal. A majority of the citations that a paper receives are for providing contextual, and background information to the citing papers and are not central to the theme of those papers. However, some papers are pivotal to the citing paper and inspire or stem up the research in the citing paper. Hence the nature of citation the former receives from the later is significant. In this work in progress paper, we discuss our preliminary idea towards establishing a lineage for a given research via identifying significant citations. We hypothesize that such an automated system can facilitate relevant literature discovery and help identify knowledge flow for at least a certain category of papers. The distal goal of this work is to identify the real impact of research work or a facility beyond direct citation counts.

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    Authors: P. Petra Pejšová; M. Vaska;

    This project aimed to uncover open licenses and describe how they are used, focusing on Creative Commons free licenses, the most widely known worldwide. The Open Access movement has begun gaining greater acceptance, with numerous institutions either strongly encouraging and/or requiring their faculty, students, and staff to deposit their scholarly work in the institutional repository. Via a survey, international, national, subject, and institutional repositories have been selected, in order to determine if Creative Commons licenses are being used at these facilities and if so, how and in what way (i.e. which type of documents are being deposited?, what is the degree of usage? etc). The survey focusses on the different Creative Commons licenses available, and how these affect open access and copyright restrictions.

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    DANS-EASY
    Dataset . 2015
    Data sources: B2FIND
    https://doi.org/10.5446/49845...
    Audiovisual . 2014
    Data sources: Datacite
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      DANS-EASY
      Dataset . 2015
      Data sources: B2FIND
      https://doi.org/10.5446/49845...
      Audiovisual . 2014
      Data sources: Datacite
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  • Authors: The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Limisiewicz, Tomasz; Mare��ek, David;

    Anthology paper link: https://aclanthology.org/2021.emnlp-main.376/ Abstract: State-of-the-art contextual embeddings are obtained from large language models available only for a few languages. For others, we need to learn representations using a multilingual model. There is an ongoing debate on whether multilingual embeddings can be aligned in a space shared across many languages. The novel Orthogonal Structural Probe (Limisiewicz and Mare��ek, 2021) allows us to answer this question for specific linguistic features and learn a projection based only on mono-lingual annotated datasets. We evaluate syntactic (UD) and lexical (WordNet) structural information encoded inmBERT's contextual representations for nine diverse languages. We observe that for languages closely related to English, no transformation is needed. The evaluated information is encoded in a shared cross-lingual embedding space. For other languages, it is beneficial to apply orthogonal transformation learned separately for each language. We successfully apply our findings to zero-shot and few-shot cross-lingual parsing.

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    Supplementary data of a master thesis: Early Neolithic polished stone tools analysis defended at Masaryk Univerzity, Brno, Czech Republic. The repository contains supplementary database and datasets concerning morphometric shape analysis of polished stone tools and related R scripts. The structure is described in attached read me file. {"references": ["Pajdla, P. 2017: Anal\u00fdza brou\u0161en\u00e9 kamenn\u00e9 industrie kultury s line\u00e1rn\u00ed keramikou. Diploma Thesis at Department of Archaeology and Museology, Faculty of Arts, Masaryk University, Brno"]}

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    ZENODO
    Dataset . 2017
    License: CC BY SA
    Data sources: Datacite
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    ZENODO
    Dataset . 2017
    License: CC BY SA
    Data sources: ZENODO
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      Dataset . 2017
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  • Authors: Association for Computational Linguistics 2023; Abercrombie, Gavin; Alonso-Moral, Jose M.; Arvan, Mohammad; +34 Authors

    We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human evaluations in NLP more/less reproducible. We present our results and findings, which include that just 13% of papers had (i) sufficiently low barriers to reproduction, and (ii) enough obtainable information, to be considered for reproduction and that all but one of the experiments we selected for reproduction was discovered to have flaws that made the meaningfulness of conducting a reproduction questionable. As a result, we had to change our coordinated study design from a reproduce approach to a standardise-then-reproduce-twice approach. Our overall (negative) finding that the great majority of human evaluations in NLP is not repeatable and/or not reproducible and/or too flawed to justify reproduction, paints a dire picture, but presents an opportunity for a rethink about how to design and report human evaluations in NLP.

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  • Authors: Association for Computational Linguistics 2023; Kadlčík, Marek; Sojka, Petr; Štefánik, Michal;

    Domain adaptation allows generative language models to address specific flaws caused by the domain shift of their application.However, the traditional adaptation by further training on in-domain data rapidly weakens the model's ability to generalize to other domains, making the open-ended deployments of the adapted models prone to errors.This work introduces novel training objectives built upon a semantic similarity of the predicted tokens to the reference.Our results show that (1) avoiding the common assumption of a single correct prediction by constructing the training target from tokens' semantic similarity can largely mitigate catastrophic forgetting of adaptation, while (2) preserving the adaptation in-domain quality, (3) with negligible additions to compute costs.In the broader context, the objectives grounded in a continuous token similarity pioneer the exploration of the middle ground between the efficient but naive exact-match token-level objectives and expressive but computationally- and resource-intensive sequential objectives.

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  • Authors: Association for Computational Linguistics 2023; Fučíková, Eva; Hajic, Jan; Strakova, Jana; +1 Authors

    In this project, we have investigated the use of advanced machine learning methods, specifically fine-tuned large language models, for pre-annotating data for a lexical extension task, namely adding descriptive words (verbs) to an existing (but incomplete, as of yet) ontology of event types. Several research questions have been focused on, from the investigation of a possible heuristics to provide at least hints to annotators which verbs to include and which are outside the current version of the ontology, to the possible use of the automatic scores to help the annotators to be more efficient in finding a threshold for identifying verbs that cannot be assigned to any existing class and therefore they are to be used as seeds for a new class. We have also carefully examined the correlation of the automatic scores with the human annotation. While the correlation turned out to be strong, its influence on the annotation proper is modest due to its near linearity, even though the mere fact of such pre-annotation leads to relatively short annotation times.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Martin Kuna; Andrea Němcová; Ondřej Chvojka;

    Nálezy z archeologického výzkumu v Březnici (okr. Tábor) v letech 2005-2009 a 2019. Výzkum provedl O. Chvojka (Archeologický ústav FF JU v Českých Budějovicích). Data zahrnují údaje o keramice a dalších nálezech použitých k depoziční analýze sídlištních objektů mladší doby bronzové, zejména tzv. žlabů. Výsledky analýzy jsou publikovány v Chvojka et al. 2021. Popis databáze je obsažen v přiloženém PDF souboru. Podpořeno Grantovou agenturou ČR (18-10747S). Finds from the archaeological excavations in Březnice (Tábor district, South Bohemia, Czech Republic) in 2005-2009 and 2019. The fieldwork was directed by O. Chvojka (Institute of Archaeology, South Bohemian University in České Budějovice). Data concern the pottery fragments and other finds (daub, loom weights) used for the analysis of deposition processes in the Late Bronze Age settlement features. Based on this material, a model of house biography and the concept of closing rituals were formulated (see Chvojka et al. 2021). These models suggest an interpretation for the so-called trenches, specific sunken features filled with an unusually rich content of secondary-burnt pottery and other finds. Details of the database are given in the attached PDF file. Supported by the Czech Sceince Foundation (18-10747S). Chvojka, O. – Kuna, M. – Menšík, P. et al. 2021: Rituály ukončení a obnovy. Sídliště mladší doby bronzové v Březnici u Bechyně – Rituals of termination and renewal. The Late Bronze Age settlement in Březnice near Bechyně. České Budějovice – Praha – Plzeň. ISBN 978-80-7394-899-3; ISBN 978-80-7581-039-7; ISBN 978-80-261-1083-5.

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Data supplement for the landscape connectivity study between Iron Age settlements (LT B-LT D) in Křivoklát Protected Landscape Area with focus on site of Nižbor (exact quotation of the paper will be added after its official publishing – Venclová, N. –Dreslerová, D. – Kyselý, R. – Dyčka, M. – Šebesta, J. – Pachnerová Brabcová, K. – Bíšková, J. – Matoušek, V. 2024: Paths to this and the next world: A La Tène sunken hut from Nižbor, Central Bohemia. Archeologické rozhledy 76, 329-358). The study is based on the analysis called Cumulative Focal Mobility Network (CFMN), which has been perfected for more than a decade. This method calculates directional-less movement in the artificial environment from a multitude of source points (grid of 256 equally spaced points in a 50 km radius around Nižbor) by means of the interpretation of slope model using hydrological tools (Fábrega-Álvarez 2006; Murrieta-Flores 2012). The resulting x-number of models, representing the most convenient paths to the selection of points, are then merged and analysed with the Density tool to find the highest number of overlaps (for the syntax, see Fig. 14). In practice, these are the corridors for the most convenient movement throughout the landscape (Bellavia 2001; Verhagen 2010; Déderix 2016). In other words, the analysis can be described as an ideal model of connectivity and accessibility of various locations in the terrain and of optimal pathways – natural corridors of movement – leading across the entire landscape (Verhagen et al. 2013; Stančo – Pažout 2020). The 5th generation Digital Terrain Model of the Czech Republic (DMR 5G) was used for the analysis. It was reclassified to an 8 m cell size and cleared of modern infrastructure developments (Novák et al. 2022). It was combined with the Model of Potential Floodplains in the Czech Republic (Novák 2017), which served as a further buffer for the movement. All analyses were calculated in ArcMap 10.8 software. To reconstruct the position of the studied site in the LT B–LT ­D period in a broader sense, the settlement pattern should be considered within the Křivoklát Protected Landscape Area and its surroundings (principally Beroun, Kladno, Praha-západ and Rakovník districts in Central Bohemia). An overview of La Tène sites was recently presented (Dreslerová et al. 2022) based on current archaeological records (AMCR database). Hence, in a 50 km radius around Nižbor, 344 positive confirmations of human activity can be found between LT B and LT D. For the needs of this study, the site location was refined by merging the immediately neighbouring ones into clusters, which are further treated as one site with positive confirmation of occupation in LT B­–LT D. A total of 149 sites were thus studied in relation to Nižbor. Sources: AMCR database: Archaeological Map of the Czech Republic. Available at: https://digiarchiv.aiscr.cz/ [accessed 01-01-2022]. Bellavia, G. 2001: Extracting "Natural Pathways" from a Digital Elevation Model. Applications to Landscape Archaeological Studies. In: G. Burenhult – J. Arvidsson (eds.), Archaeological Informatics: Pushing The Envelope. Proceedings of the CAA 2001. Oxford: Archaeopress, 5–12. Déderix, S. 2016: Travelling Across Archaeological Landscapes: the Contribution of Hierarchical Communication Networks. In: S. Campana et al. (eds.), Keep the revolution going. Proceedings of the 43rd Annual Conference of Computer Applications and Quantitative Methods in Archaeology, CAA 2015. Oxford: Archaeopress, 555–565. Dreslerová, D. – Venclová, N. – Demján, P. – Kyselý, R. – Matoušek, V. 2022: Did they leave or not? A critical perspective on the beginnings of the La Tène period in Bohemia. Archeologické rozhledy 74, 505–537. https://doi.org/10.35686/AR.2022.24 Fábrega-Álvarez, P. 2006: Moving without destination. A theoretical GIS-based determination of movement from a giving origin. Archaeological Computing Newsletter 64, 7–11. Murrieta-Flores, P. 2012: Understanding human movement through spatial technologies. The role of natural areas of transit in the Late Prehistory of south-western Iberia. Trabajos de Prehistoria 69, 103–122. Novák D. 2017: GIS data - Model potenciálních rozlivových zón na území ČR | GIS data - Model of Potential Floodplains in the Czech Republic. Zenodo. doi: 10.5281/zenodo.3367357. Novák D. – Pružinec F. – Lieskovský T. 2022: The Potential and Implications of Automated Pre-Processing of Lidar-Based Digital Elevation Models for Large-Scale Archaeological Landscape Analysis. Slovak Journal of Civil Engineering 30, 4. http://dx.doi.org/10.2139/ssrn.4063514 Stančo, L. – Pažout, A. 2020: Which way to Roxane: Mobility networks in the heartland of Central Asia. Journal of Archaeological Science: Reports 32, 102391. https://doi.org/10.1016/j.jasrep.2020.102391 Verhagen, P. 2010: On the Road to Nowhere? Least Cost Paths, Accessibility and the Predictive Modelling Perspective. In: F. Contreras – M. Farjas – F. J. Melero (eds.), Proceedings of the 38th Annual Conference on Computer Applications and Quantitative Methods in Archaeology, CAA 2010. Oxford: Archaeopress, 383–390. Verhagen, P. – Brughmans, T. – Nuninger, L. – Bertoncello, F. 2013: The Long and Winding Road: Combining Least Cost Paths and Network Analysis Techniques for Settlement Location Analysis and Predictive Modelling. In: E. Graeme (ed.), Archaeology in the Digital Era. Papers from the 40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (CAA), Southampton, 26-29 March 2012. Amsterdam: Amsterdam University Press, 357–366.

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    The dataset was created within the project ���Land use, social transformations and woodland in Central European Prehistory. Modelling approaches to human-environment interactions��� funded by the Czech Science Foundation (19-20970Y). This dataset represents the largest and the most comprehensive collection of archaeological radiocarbon dates from the Czech Republic to date. The dataset offers 1579 samples from 347 archaeological sites dating from Early Mesolithic (10 000 BC) to Medieval Period (AD 1250). Published in a simple spreadsheet format, the database offers researchers a quick tool for further analyses. It is important to highlight that dates we collected originated only from archaeological contexts, which means that we have excluded some radiocarbon dates produced through palaeoecological research without a direct relationship to past human activities, such as pollen records or samples from fossilized trees in river beds. The dataset is intended to be used for demographic modelling of population numbers during periods without written records, i.e. prehistory. 1.0.1. - minor changes of data - corrections of few coordinates and Site IDs

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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2021
    License: CC BY
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2021
      License: CC BY
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  • Authors: The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Singh, Muskaan;

    Finding the lineage of a research topic is crucial for understanding the prior state of the art and advancing scientific displacement. The deluge of scholarly articles makes it difficult to locate the most relevant prior work and causes researchers to spend a considerable amount of time building up their literature list. Citations play a significant role in discovering relevant literature. However, not all citations are created equal. A majority of the citations that a paper receives are for providing contextual, and background information to the citing papers and are not central to the theme of those papers. However, some papers are pivotal to the citing paper and inspire or stem up the research in the citing paper. Hence the nature of citation the former receives from the later is significant. In this work in progress paper, we discuss our preliminary idea towards establishing a lineage for a given research via identifying significant citations. We hypothesize that such an automated system can facilitate relevant literature discovery and help identify knowledge flow for at least a certain category of papers. The distal goal of this work is to identify the real impact of research work or a facility beyond direct citation counts.

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    Authors: P. Petra Pejšová; M. Vaska;

    This project aimed to uncover open licenses and describe how they are used, focusing on Creative Commons free licenses, the most widely known worldwide. The Open Access movement has begun gaining greater acceptance, with numerous institutions either strongly encouraging and/or requiring their faculty, students, and staff to deposit their scholarly work in the institutional repository. Via a survey, international, national, subject, and institutional repositories have been selected, in order to determine if Creative Commons licenses are being used at these facilities and if so, how and in what way (i.e. which type of documents are being deposited?, what is the degree of usage? etc). The survey focusses on the different Creative Commons licenses available, and how these affect open access and copyright restrictions.

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    DANS-EASY
    Dataset . 2015
    Data sources: B2FIND
    https://doi.org/10.5446/49845...
    Audiovisual . 2014
    Data sources: Datacite
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      DANS-EASY
      Dataset . 2015
      Data sources: B2FIND
      https://doi.org/10.5446/49845...
      Audiovisual . 2014
      Data sources: Datacite
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  • Authors: The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Limisiewicz, Tomasz; Mare��ek, David;

    Anthology paper link: https://aclanthology.org/2021.emnlp-main.376/ Abstract: State-of-the-art contextual embeddings are obtained from large language models available only for a few languages. For others, we need to learn representations using a multilingual model. There is an ongoing debate on whether multilingual embeddings can be aligned in a space shared across many languages. The novel Orthogonal Structural Probe (Limisiewicz and Mare��ek, 2021) allows us to answer this question for specific linguistic features and learn a projection based only on mono-lingual annotated datasets. We evaluate syntactic (UD) and lexical (WordNet) structural information encoded inmBERT's contextual representations for nine diverse languages. We observe that for languages closely related to English, no transformation is needed. The evaluated information is encoded in a shared cross-lingual embedding space. For other languages, it is beneficial to apply orthogonal transformation learned separately for each language. We successfully apply our findings to zero-shot and few-shot cross-lingual parsing.

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